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To apply, please send the following to hive.recruitment@towerbrook.com • Your resume / CV, • A short blurb introducing yourself and explaining why you are a good fit for the Hive, and confirming which location your're applying to (New York or London). Keep it short & real, no need for a fancy cover letter!, • Links to anything cool you’ve built with AI for work, school, or even just on your own time Position Overview The AI Hive is TowerBrook’s new fellowship for applied AI builders. This is not an analyst program and it is not a consulting role. Fellows do not produce slides about what AI could do. Fellows train intensively inside TowerBrook for six months, with the opportunity to progress into a twelve-month embed inside one of our portfolio companies as an Applied AI Engineer, working directly with CEOs and operating teams to ship AI-native solutions that move real numbers. The fellowship runs in two phases. In Phase 1 (six months), fellows are based at TowerBrook in New York or London, training with leading external AI partners and shipping high-priority internal projects across the firm. Fellows who excel in Phase 1 are considered for Phase 2 (twelve months): a full-time, onsite embed inside a TowerBrook portfolio company, working in person alongside the management team and reporting to the CEO, CTO, or Head of AI, and delivering milestone-based work with measured business outcomes. Fellows in this first cohort will have a unique opportunity to shape how TowerBrook builds and deploys AI talent across the portfolio Responsibilities Phase 1. Inside TowerBrook (Months 1 to 6) • Complete a three-week intensive training program with a leading AI-native training partner, covering prompt engineering, agent architecture, Claude Code and other coding assistants, workflow automation (n8n, Lovable), Python, and enterprise AI governance., • Pair with internal devs and senior engineers from best-in-class applied AI firms on live TowerBrook projects, shipping working prototypes within the first six weeks., • Lead at least two internal builds with named senior sponsors as business owners. Projects may span front, middle, or back office (investment teams, operations, finance, IR, compliance, knowledge management) depending on firm priority. Deliver shipped output, not recommendations., • Contribute to the shared Hive knowledge base (reusable agents, templates, playbooks) that compounds across future cohorts. Phase 2. Portfolio Company Assignment (Months 7 to 18) • Match into a portfolio company across TowerBrook verticals based on fit, and relocate as needed to work onsite at the company’s primary office for the duration of the twelve-month embed. Matching is jointly led by the Program Lead, the senior program sponsor, and TowerBrook’s Technology Operating Partners., • Run a four-week diagnostic sprint: map workflows, validate pain points, and produce a twelve-month build roadmap signed off by the company CEO and the TCP sponsor., • Execute three to five milestone-based build sprints of eight to twelve weeks, each delivering measured output (hours saved, revenue uplift, cost reduction, new capability shipped)., • Report directly to the company CEO, CTO, or Head of AI, while retaining ongoing connectivity to TowerBrook for the duration of the engagement., • Attend monthly Hive-wide cross-pollination sessions with other fellows and coordinators. Document learnings for the Hive knowledge base., • At the close of the twelve-month deployment, transition into one of four paths: a full-time role at the portfolio company, redeployment to a second company, a role at TowerBrook, or release into the TCP alumni network. Professional Qualifications & Experience • One to three years of post-university experience in a builder role. We read “builder” broadly: software engineering, data, product, operations with automation exposure, quantitative research, consulting with hands-on implementation, or early-stage startups. Candidates with fewer than one year or more than three years of experience are out of scope for the pilot cohort., • A technical or quantitative undergraduate background is welcome: computer science, engineering, physics, applied mathematics, statistics, computational biology, industrial engineering, operations research, information systems, or quantitative economics. We will also consider non-technical majors with visible builder evidence such as a GitHub portfolio, shipped side projects, or published technical writing., • Fluency with modern AI tools. You already use Claude or ChatGPT daily as a core part of your workflow, not as a novelty., • Working proficiency in Python or another scripting language is a plus — enough to prototype end-to-end without supervision is ideal, but not required. Formal ML engineering or data science experience is not required and is not what we are optimizing for., • Demonstrated evidence of shipped work outside a structured environment: a side project, an automation built at a previous role that nobody asked for, a product used by real users, or published writing with an audience. What you built matters more than where you built it., • Right to work in the United States (for New York candidates) or the United Kingdom (for London candidates) is preferred. Visa support may be available for exceptional candidates. Personal Qualifications • Stakeholder presence. At ease working with a company CEO or a TowerBrook partner, approaching business problems with curiosity and humility., • AI-native instinct. You reach for AI tools naturally during ideation and problem solving., • Builder disposition and bias for action. You try things rather than endlessly plan, and you pick up new tools quickly, including things outside your formal training., • Written communication. You can produce a crisp one-pager that a senior partner or a company CFO will actually read. Compensation & Benefits of working at TowerBrook • The base salary range for this role is $130,000 – $150,000. Compensation also includes eligibility for a discretionary annual bonus and a competitive benefits package, • Intensive applied AI training with a curated set of leading external partners across AI-native education and applied engineering, • Direct mentorship from senior TowerBrook partners, Technology Operating Partners, and portfolio company CEOs, • Guest seminar program featuring frontier AI lab teams, applied AI practitioners, and high-signal technical writers, • Clear post-fellowship pathways: full-time hire at the portfolio company, full-time role at TowerBrook (Applied Engineer, investment associate, or Hive coordinator), redeployment to a second portfolio company, or release into the TCP alumni network, • Access to cutting-edge AI tooling and early-access relationships with leading AI labs through TowerBrook’s partner networks, • A collaborative, entrepreneurial culture within a globally respected investment firm

Our partner labs are building models that need to reason about theoretical physics, condensed matter, quantum information, particle physics and high-energy theory, astrophysics and cosmology, atomic/molecular/optical (AMO) physics, plasma physics, biophysics, statistical and computational physics, a

Ideal Qualifications - Degree: Bachelor’s, Master’s or PhD in a STEM field (Physics, Chemistry, Mathematics, Biochemistry, or related Computational Sciences). Unit Testing Experience: Familiarity with testing frameworks (like `pytest`) and the ability to write robust validation scripts f

Job Description Applied Physics is seeking a highly motivated and skilled professional to join our Machine Learning team at the Advanced Propulsion Laboratory at Applied Physics. In this role, you will have the opportunity to work on cutting-edge research in new and emerging fields. Responsibilities: • Conduct research on state-of-the-art Machine Learning algorithms relevant to the problem being addressed., • Implement, train, and validate proposed algorithms for specific problem domains., • Contribute to the integration of algorithms within larger programmatic systems that require these capabilities., • Collaborate with others in a multidisciplinary team environment to accomplish research goals., • Pursue both independent and collaborative research interests and interact with a broad spectrum of scientists internally and externally to the Laboratory., • Publish research results in peer-reviewed scientific journals and present results at conferences, seminars, and meetings., • Travel as required to coordinate research with collaborators and visit field sites. Requirements • PhD in Computer Science, Computational Engineering, Applied Statistics, Applied Mathematics, or another technical discipline providing an underlying skillset in data analysis and Machine Learning techniques., • Fundamental knowledge of and/or experience developing and applying algorithms in one or more of the following Machine Learning areas/tasks: deep learning, representation learning, zero- or few-shot learning, active learning, reinforcement learning, natural language processing, ensemble methods, statistical modeling and inference (e.g., probabilistic graphical models, Gaussian processes, or nonparametric Bayesian methods)., • Experience in the broad application of one or more higher-level programming languages such as Python, Java, Scala, or C/C++., • Experience with one or more deep learning libraries such as PyTorch, TensorFlow, Keras, or Caffe., • Proven ability to undertake original research and communicate findings in peer-reviewed publications., • Experience working with a multidisciplinary team of scientists, engineers, and project managers to develop and apply these capabilities to inform engineering decisions., • Proficient verbal and written communication skills to collaborate effectively in a team environment and present and explain technical information. Benefits We offer a competitive salary and benefits package, flexible work hours, and opportunities for growth and career development. Join our dynamic and passionate team and help us make a positive impact on the world. If you are a talented, motivated, and empathetic individual who shares our passion for making a difference, we encourage you to apply for this exciting opportunity to work with our team at Applied Physics. Applied Physics is an equal opportunity employer.

Job Description We are sharing a specialised part-time consulting opportunity for professionals experienced in advanced mathematics, proof-based reasoning, competition mathematics, quantitative problem solving, and structured mathematical evaluation. This role supports current and upcoming remote consulting opportunities focused on structured mathematical reasoning review, advanced problem solving, proof evaluation, benchmark development, quantitative analysis, and high-quality project execution. Selected professionals will apply their mathematical expertise to solve challenging problems, evaluate reasoning quality, prepare structured written outputs, and support accurate, rigorous mathematical review workflows. Key Responsibilities Professionals in this role may contribute to: Advanced Problem Solving & Mathematical Reasoning • Solve advanced mathematical problems across competition math, proof-based mathematics, quantitative reasoning, and research-style problem sets, • Work through problems involving areas such as number theory, combinatorics, algebra, real analysis, complex analysis, probability, and linear algebra, • Produce precise, well-structured mathematical solutions with clear reasoning and rigorous justification, • Identify gaps, errors, unsupported steps, and expected mathematical outcomes in complex reasoning tasks Proof Review & Reasoning Evaluation • Review mathematical proofs, solution paths, derivations, and advanced reasoning outputs against structured criteria, • Evaluate correctness, rigor, clarity, completeness, and logical consistency in mathematical work, • Provide clear written feedback explaining reasoning issues, missing steps, alternative approaches, and solution quality, • Support structured review of challenging mathematical benchmarks and evaluation materials Original Problem Design & Quantitative Assessment • Develop original advanced mathematical problems, solution keys, and evaluation rubrics, • Support benchmark-style work involving mathematical reasoning, proof construction, and quantitative evaluation, • Apply statistical or quantitative methods to assess performance patterns across mathematical tasks, • Maintain accuracy, consistency, and professional judgment across submitted work Ideal Profile Strong candidates may have: • Strong background in advanced mathematics, mathematical competitions, proof-based coursework, academic research, quantitative finance, theoretical computer science, statistics, or related quantitative work, • Demonstrated participation or achievement in elite mathematical competitions such as IMO, Putnam, USAMO, national olympiads, or comparable advanced competitions, • Deep proficiency across multiple mathematical areas such as combinatorics, number theory, algebra, real analysis, complex analysis, linear algebra, probability, or statistics, • Ability to produce precise, rigorous, and well-structured mathematical writing, • Strong attention to detail and ability to evaluate complex reasoning step by step, • Clear written communication skills and ability to explain mathematical conclusions carefully Educational Background • A bachelor's degree or higher in mathematics, applied mathematics, statistics, computer science, physics, engineering, economics, or a related quantitative field is helpful, • Advanced degree, olympiad-level training, academic research experience, or comparable high-level mathematical background is highly relevant, • Equivalent practical experience in mathematical research, quantitative analysis, theoretical computer science, or rigorous problem-solving environments is also valuable Nice to Have • IMO, Putnam, USAMO, national olympiad, or equivalent high-level competition experience, • Graduate-level training in mathematics, statistics, theoretical computer science, physics, or quantitative finance, • Experience writing original mathematical problems, proof solutions, evaluation rubrics, or benchmark-style materials, • Familiarity with mathematical modeling, quantitative research, probability, statistics, or computational mathematics, • Strong comfort working through long, challenging, reasoning-heavy tasks with sustained focus Why This Opportunity • Apply advanced mathematical expertise to structured remote project work, • Contribute to high-quality mathematical reasoning, proof review, problem design, and quantitative evaluation workflows, • Work on challenging assignments aligned with your mathematical strengths, • Use your mathematical judgment in a focused, rigorous review environment, • Remote structure with competitive hourly compensation Contract Details • Independent contractor role, • Fully remote with flexible scheduling, • Part-time commitment depending on project availability, • Competitive rates between $45–$70 per hour depending on expertise, • Weekly payments via Stripe or Wise, • Projects may be extended, shortened, or adjusted depending on scope and performance, • Work will not involve access to confidential or proprietary information from any employer, client, or institution About the Platform This opportunity is available through 24-MAG LLC. We connect experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams. By submitting this application, you acknowledge that your information may be processed by 24-MAG LLC for recruitment and opportunity matching in accordance with our Privacy Policy: https://www.24-mag.com/privacy-policy.

Job Description Join our team and help build the world's first biological reasoning model. Work with us to build generative foundational models that decode biological systems across scales — from molecules to organisms — enabling us to predict, understand, and program living systems in ways never before possible. Output Biosciences is currently in stealth, operated by a team of repeat founders and biotech veterans with multiple exits in AI and biology, and backed by top VCs including Y Combinator. As a Machine Learning Research Scientist, Interpretability, you'll work alongside our founders and team members to develop AI systems capable of processing and reasoning across multiple biological data modalities simultaneously. You will develop specialized methods for understanding our biological reasoning models, reverse-engineering how they represent and process complex biological information. You will design and conduct experiments to uncover interpretable features across biological scales. You will address unique challenges in biological model interpretation, such as disentangling the multi-scale, hierarchical representations of biological systems You will build biology-specific visualization tools that can map model activations to meaningful biological concepts. Who We're Looking For: You have a Bachelor's degree in Computer Science, Computer Engineering, Mathematics, Physics, or a relevant technical field. You have a PhD with 2 years of research experience, or a Bachelor's degree with 4+ years of research or industry experience in Deep Learning, Artificial Intelligence, or other relevant fields. You have a strong publication record in top-tier AI conferences or journals (e.g., NeurIPS, ICML, ICLR). You are proficient in Python and have expertise in at least one major deep learning framework (PyTorch, TensorFlow, or JAX). Who You Are: You have excellent problem-solving skills and the ability to quickly adapt to new challenges. You exhibit a proactive approach to problem-solving, thinking beyond the specific task, taking ownership of challenges, and taking pride in solving them. You have a mature mindset in ambiguous situations, helping to frame questions and seek clarity while making decisions in the face of uncertainty. You have excellent communication skills and can clearly articulate complex technical concepts. You are motivated by making a real impact and are committed to tackling problems of significant consequence with determination and creativity. Bonus points: You have experience applying machine learning to biological or chemical problems. You have knowledge of physics, molecular biology, chemistry, computational biology, bioinformatics, cheminformatics, or related fields. You have experience with multi-modal learning. You have contributed to open-source machine learning projects/ You have experience in developing efficient code in C/C++. Our Values ❤️ Heart: We foster a culture of ownership. We are assembling a team of individuals who are passionate and take pride in their contributions. 🏆 Excellence: We have an unwavering commitment to excellence and continuously challenge ourselves to reach the highest standards. 🚀 Practicality: We value practicality and results-oriented thinking. We are committed to making a tangible impact on the lives of patients and the broader community. 📣 Honesty: We place a high value on honesty and directness. We firmly believe in addressing issues as they arise, in an open and transparent manner. 🎮 Fun: We believe that life is too short to not have fun. Our goal is to create a workplace that is fun, engaging, rewarding and fulfilling. What We Offer We encourage new and different ideas, creativity and contrarian thinking Healthy feedback focused environment to help you strive - leadership will have high expectations, regularly share constructive feedback, support you and help you grow, and welcome receiving feedback and ideas from you You own your day-to-day management. What we care about is that we all hit our milestones Competitive salary and equity in a growing, well-funded startup Excellent medical, dental, and vision coverage Compensation Range: $120K - $250K

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Expert Professionals — AI & Data Science Type: Contract Compensation: $70–$100/hour Location: Remote Commitment: 40 hours/week Role Responsibilities • Guide research and engineering teams to close knowledge gaps in AI and data science domains. Surface nuances that distinguish expert-level work from surface-level reasoning., • Design challenging agentic tasks rooted in real-world ML, data science, data engineering, and software workflows. Write accurate, well-documented solutions that serve as ground truth., • Evaluate AI agent outputs against your solutions. Provide detailed written feedback capturing correctness, efficiency, and reasoning quality., • Develop and refine evaluation frameworks and rubrics for assessing agentic behavior on AI and data science tasks., • Collaborate with other subject matter experts to ensure consistency and accuracy in training data. Qualifications Must-Have • 3+ years of research, academic, or industry experience in Machine Learning, Data Science, Software Engineering, Computer Science, Statistics, Biology, Electrical/Mechanical/Civil Engineering, Physics, Chemistry, Mathematics, Materials Science, or other STEM background., • Demonstrated technical expertise in programming, data analysis, ML modeling, statistical methods, or computational methods., • Ability to commit to 40 hours per week during weekdays for the duration of the engagement., • Strong written communication skills and the ability to explain technical decisions clearly. Preferred • Prior experience with data annotation, labeling, evaluation, or human feedback collection., • Experience with LLMs, AI systems, or agentic workflows; familiarity with agentic frameworks. Application Process (Takes 20–30 mins to complete) • Upload resume, • AI interview based on your resume, • Submit form Resources & Support • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome, • For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Expert Professionals — STEM Research Type: Contract Compensation: $70–$100/hour Location: Remote Commitment: 40 hours/week Role Responsibilities • Guide research teams to close knowledge gaps in STEM domains by surfacing edge cases, ambiguities, and frontier problems where current models underperform., • Design challenging, rigorous domain tasks and write accurate, well-reasoned solutions that demonstrate expert-level scientific and technical reasoning., • Evaluate tasks and solutions produced by AI agents and other contributors, providing clear written technical feedback grounded in domain expertise., • Develop evaluation frameworks and rubrics for assessing scientific reasoning quality across STEM domains., • Collaborate with other subject matter experts to ensure consistency and accuracy in training data. Qualifications Must-Have • PhD (completed, enrolled, or equivalent research track) in Physics, Chemistry, Biology, Mathematics, Statistics, Computer Science, Electrical Engineering, Mechanical Engineering, Civil Engineering, Materials Science, or another STEM discipline., • 3+ years of research, academic, or industry experience in their primary STEM domain., • Demonstrated technical expertise in at least one domain: computational modeling, laboratory methods, data analysis, statistical inference, programming, or equivalent scientific methods., • Ability to commit to 40 hours per week during weekdays for the duration of the engagement., • Strong written communication skills; ability to explain complex scientific or technical concepts clearly in writing. Preferred • Prior experience with data annotation, labeling, evaluation, or human feedback collection., • Experience with LLMs, AI systems, or agentic workflows; familiarity with agentic frameworks. Compensation & Legal • W-2 employment with Cincinnatus LLC. Application Process (Takes 20–30 mins to complete) • Upload resume, • AI interview based on your resume, • Submit form Resources & Support • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome, • For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Expert Professionals — AI & Data Science Type: Contract Compensation: $70–$100/hour Location: Remote Commitment: 40 hours/week Role Responsibilities • Guide research and engineering teams to close knowledge gaps in AI and data science domains. Surface nuances that distinguish expert-level work from surface-level reasoning., • Design challenging agentic tasks rooted in real-world ML, data science, data engineering, and software workflows. Write accurate, well-documented solutions that serve as ground truth., • Evaluate AI agent outputs against your solutions. Provide detailed written feedback capturing correctness, efficiency, and reasoning quality., • Develop and refine evaluation frameworks and rubrics for assessing agentic behavior on AI and data science tasks., • Collaborate with other subject matter experts to ensure consistency and accuracy in training data. Qualifications Must-Have • 3+ years of research, academic, or industry experience in Machine Learning, Data Science, Software Engineering, Computer Science, Statistics, Biology, Electrical/Mechanical/Civil Engineering, Physics, Chemistry, Mathematics, Materials Science, or other STEM background., • Demonstrated technical expertise in programming, data analysis, ML modeling, statistical methods, or computational methods., • Ability to commit to 40 hours per week during weekdays for the duration of the engagement., • Strong written communication skills and the ability to explain technical decisions clearly. Preferred • Prior experience with data annotation, labeling, evaluation, or human feedback collection., • Experience with LLMs, AI systems, or agentic workflows; familiarity with agentic frameworks. Application Process (Takes 20–30 mins to complete) • Upload resume, • AI interview based on your resume, • Submit form Resources & Support • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome, • For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity. #hiringmercor

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Expert Professionals — STEM Research Type: Contract Compensation: $70–$100/hour Location: Remote Commitment: 40 hours/week Role Responsibilities • Guide research teams to close knowledge gaps in STEM domains by surfacing edge cases, ambiguities, and frontier problems where current models underperform., • Design challenging, rigorous domain tasks and write accurate, well-reasoned solutions that demonstrate expert-level scientific and technical reasoning., • Evaluate tasks and solutions produced by AI agents and other contributors, providing clear written technical feedback grounded in domain expertise., • Develop evaluation frameworks and rubrics for assessing scientific reasoning quality across STEM domains., • Collaborate with other subject matter experts to ensure consistency and accuracy in training data. Qualifications Must-Have • PhD (completed, enrolled, or equivalent research track) in Physics, Chemistry, Biology, Mathematics, Statistics, Computer Science, Electrical Engineering, Mechanical Engineering, Civil Engineering, Materials Science, or another STEM discipline., • 3+ years of research, academic, or industry experience in their primary STEM domain., • Demonstrated technical expertise in at least one domain: computational modeling, laboratory methods, data analysis, statistical inference, programming, or equivalent scientific methods., • Ability to commit to 40 hours per week during weekdays for the duration of the engagement., • Strong written communication skills; ability to explain complex scientific or technical concepts clearly in writing. Preferred • Prior experience with data annotation, labeling, evaluation, or human feedback collection., • Experience with LLMs, AI systems, or agentic workflows; familiarity with agentic frameworks. Compensation & Legal • W-2 employment with Cincinnatus LLC. Application Process (Takes 20–30 mins to complete) • Upload resume, • AI interview based on your resume, • Submit form Resources & Support • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome, • For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Expert Professionals — STEM Research Type: Contract Compensation: $70–$100/hour Location: Remote Commitment: 40 hours/week Role Responsibilities • Guide research teams to close knowledge gaps in STEM domains by surfacing edge cases, ambiguities, and frontier problems where current models underperform., • Design challenging, rigorous domain tasks and write accurate, well-reasoned solutions that demonstrate expert-level scientific and technical reasoning., • Evaluate tasks and solutions produced by AI agents and other contributors, providing clear written technical feedback grounded in domain expertise., • Develop evaluation frameworks and rubrics for assessing scientific reasoning quality across STEM domains., • Collaborate with other subject matter experts to ensure consistency and accuracy in training data. Qualifications Must-Have • PhD (completed, enrolled, or equivalent research track) in Physics, Chemistry, Biology, Mathematics, Statistics, Computer Science, Electrical Engineering, Mechanical Engineering, Civil Engineering, Materials Science, or another STEM discipline., • 3+ years of research, academic, or industry experience in their primary STEM domain., • Demonstrated technical expertise in at least one domain: computational modeling, laboratory methods, data analysis, statistical inference, programming, or equivalent scientific methods., • Ability to commit to 40 hours per week during weekdays for the duration of the engagement., • Strong written communication skills; ability to explain complex scientific or technical concepts clearly in writing. Preferred • Prior experience with data annotation, labeling, evaluation, or human feedback collection., • Experience with LLMs, AI systems, or agentic workflows; familiarity with agentic frameworks. Compensation & Legal • W-2 employment with Cincinnatus LLC. Application Process (Takes 20–30 mins to complete) • Upload resume, • AI interview based on your resume, • Submit form Resources & Support • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome, • For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Expert Professionals — STEM Research Type: Contract Compensation: $70–$100/hour Location: Remote Commitment: 40 hours/week Role Responsibilities • Guide research teams to close knowledge gaps in STEM domains by surfacing edge cases, ambiguities, and frontier problems where current models underperform., • Design challenging, rigorous domain tasks and write accurate, well-reasoned solutions that demonstrate expert-level scientific and technical reasoning., • Evaluate tasks and solutions produced by AI agents and other contributors, providing clear written technical feedback grounded in domain expertise., • Develop evaluation frameworks and rubrics for assessing scientific reasoning quality across STEM domains., • Collaborate with other subject matter experts to ensure consistency and accuracy in training data. Qualifications Must-Have • PhD (completed, enrolled, or equivalent research track) in Physics, Chemistry, Biology, Mathematics, Statistics, Computer Science, Electrical Engineering, Mechanical Engineering, Civil Engineering, Materials Science, or another STEM discipline., • 3+ years of research, academic, or industry experience in their primary STEM domain., • Demonstrated technical expertise in at least one domain: computational modeling, laboratory methods, data analysis, statistical inference, programming, or equivalent scientific methods., • Ability to commit to 40 hours per week during weekdays for the duration of the engagement., • Strong written communication skills; ability to explain complex scientific or technical concepts clearly in writing. Preferred • Prior experience with data annotation, labeling, evaluation, or human feedback collection., • Experience with LLMs, AI systems, or agentic workflows; familiarity with agentic frameworks. Compensation & Legal • W-2 employment with Cincinnatus LLC. Application Process (Takes 20–30 mins to complete) • Upload resume, • AI interview based on your resume, • Submit form Resources & Support • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome, • For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Expert Professionals — AI & Data Science Type: Contract Compensation: $70–$100/hour Location: Remote Commitment: 40 hours/week Role Responsibilities • Guide research and engineering teams to close knowledge gaps in AI and data science domains. Surface nuances that distinguish expert-level work from surface-level reasoning., • Design challenging agentic tasks rooted in real-world ML, data science, data engineering, and software workflows. Write accurate, well-documented solutions that serve as ground truth., • Evaluate AI agent outputs against your solutions. Provide detailed written feedback capturing correctness, efficiency, and reasoning quality., • Develop and refine evaluation frameworks and rubrics for assessing agentic behavior on AI and data science tasks., • Collaborate with other subject matter experts to ensure consistency and accuracy in training data. Qualifications Must-Have • 3+ years of research, academic, or industry experience in Machine Learning, Data Science, Software Engineering, Computer Science, Statistics, Biology, Electrical/Mechanical/Civil Engineering, Physics, Chemistry, Mathematics, Materials Science, or other STEM background., • Demonstrated technical expertise in programming, data analysis, ML modeling, statistical methods, or computational methods., • Ability to commit to 40 hours per week during weekdays for the duration of the engagement., • Strong written communication skills and the ability to explain technical decisions clearly. Preferred • Prior experience with data annotation, labeling, evaluation, or human feedback collection., • Experience with LLMs, AI systems, or agentic workflows; familiarity with agentic frameworks. Application Process (Takes 20–30 mins to complete) • Upload resume, • AI interview based on your resume, • Submit form Resources & Support • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome, • For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Job Description A client of AlphaStaffHCM™ is searching for a Research Scientist who will work on the modeling, simulation, and architectural development of quantum and artificial intelligence (AI) computational structures intended for chip-scale implementation. The right candidate must be able to work onsite in Hoboken, NJ. Key Responsibilities: • Develop and simulate quantum and AI-based photonic architectures for on-chip, • implementation., • Translate high-level computational concepts into device-level and system-level, • simulation models., • Perform rigorous electromagnetic and Multiphysics simulations to evaluate optical,, • nonlinear, and quantum effects., • Model and simulate quantum photonic circuits and quantum gates under realistic device, • conditions., • Analyze fabrication tolerances and material constraints to assess design robustness., • Optimize photonic device structures for performance, scalability, and manufacturability., • Collaborate closely with fabrication and packaging teams to ensure simulation models, • align with process capabilities., • Support post-fabrication validation by correlating experimental results with simulation, • predictions., • Document modeling methodologies, simulation results, and architectural trade-offs for internal and external reporting Must Have Qualifications: • Ph.D. in Physics, Applied Physics, Electrical Engineering, or a closely related discipline., • Strong foundation in Photonics, Quantum optics, Nonlinear optics, • Demonstrated experience in simulation of photonic integrated circuits., • Experience modeling and simulating quantum gates/ quantum optical systems., • Understanding of semiconductor/TFLN and photonic chip fabrication processes, • Familiarity with chip testing and packaging considerations from a modeling perspective., • Software experience with Lumerica, Python, and Tidy3D Nice to Have Qualifications • Software experience with COMSOL Multiphysics, MATLAB, and/or Z-Max, • Demonstrated experience as a self-starter, • Demonstrated experience as a quick leaner Compensation and Perks • Salary range: $120,000-$150,000 annually, based on experience., • Medical, dental, and vision coverage., • Generous PTO and a retirement match., • 9:00-5:00 in office schedule Disclaimers: AlphaStaff, Inc. and the Client are equal employment opportunity employers and do not discriminate against any applicant or employee based on race, color, sex, sexual orientation, gender identity, religion, national origin, age, past or present military service, disability, genetic information, or any other basis protected by applicable federal, state, or local laws.

Job DescriptionAbout Thea Energy: Thea Energy is leveraging recent breakthroughs in stellarator physics and engineering to create a faster and simpler approach to commercializing fusion energy. The company is reinventing the stellarator using computer-controlled arrays of planar coils thereby replacing the intricate, complex modular magnets required in all other stellarator architectures. Thea Energy is on a mission to create a limitless source of zero emission energy for a sustainable future. Position Overview:Thea Energy is looking for a highly motivated Burning Plasma Scientist to join our Physics team, focusing on modeling energetic particle confinement and transport. In this role, you will run high-fidelity simulations and pioneer the use of Machine Learning surrogates to accelerate our design cycles. You will work directly with our optimization team to ensure our magnetic topologies manage fast-ion loss and heat loads effectively.Key Responsibility Areas: • Execute and analyze high-fidelity simulations using particle-following codes to assess alpha particle and neutral beam ion confinement in 3D magnetic geometries, • Investigate Alfvén Eigenmode (AE) stability using kinetic-MHD hybrid codes and assess their impact on energetic particle transport, • Develop reduced-order models and ML surrogates trained on simulation databases to enable real-time prediction of pressure profiles, • Collaborate with the engineering team to iterate on coil designs and divertor configurations to minimize fast-ion losses, • Develop synthetic diagnostics (e.g. Fast-Ion Loss Detectors, Neutron Cameras) to bridge the gap between our models and future experimental campaignsIdeal Experience & Skillsets:, • PhD in Plasma Physics, Computational Physics, or related field (or Master’s / Bachelor’s with equivalent research experience), • Proficiency in programming languages commonly used in scientific computing (e.g. Python, Fortran, C++, or MATLAB), • Creative problem solving and proven ability to thrive in collaborative environments such as startups or research groups, • Willingness to collaborate with a diverse team of scientists and engineers within the company and externally, • Passion for advancing the field of fusion energy research, • Familiarity with kinetic, MHD or particle-following codes, • Experience developing Machine Learning surrogates for physical systems, • Familiarity with energetic particle diagnosticsCompany Benefits:, • Salary range $135,000-$210,000, • Comprehensive health benefits (e.g. medical/dental/vision), • Employee equity stock options, • 20 days PTOIt’s not necessary to meet all of the skillsets outlined above. Please feel free to send us a note and tell us why you would still be a great fit for this role or Thea Energy. Diversity and Inclusion: Thea Energy is an equal opportunity employer committed to creating a company of diverse backgrounds. By creating a diverse environment, we will bring new ideas and approaches to solving some of the world’s hardest (and most important) problems. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, sexual orientation, gender identity or expression, national origin, family or marital status, age, disability, veteran’s status, or other characteristic protected by applicable laws and regulations. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Join our team and help build the world's first biological reasoning model. Work with us to build generative foundational models that decode biological systems across scales — from molecules to organisms — enabling us to predict, understand, and program living systems in ways never before possible. Output Biosciences is currently in stealth, operated by a team of repeat founders and biotech veterans with multiple exits in AI and biology, and backed by top VCs including Y Combinator. As a Generative AI Research Scientist, you'll work alongside our founders and team members to develop advanced generative models that can synthesize and design biological systems at multiple scales. Building upon our biological reasoning model, you'll focus on creating the generative capabilities that turn insights into innovations. ⁠You will design and develop cutting-edge generative models specifically for biological data, creating AI systems that can generate novel molecular structures, protein designs, cellular components, and biological pathways. You will design and implement state-of-the-art generative algorithms including diffusion models, language diffusion models, diffusion transformers, and flow matching approaches and tailor them to biological constraints and properties You will train and scale innovative AI models using large, diverse biological multi-modal datasets across distributed GPU clusters. You will solve challenging AI research problems at scale, tackling key aspects such as model architecture and scaling, pre-training and fine-tuning strategies, and rigorous evaluation methods. Your work will span various advanced generative AI architectures, including transformers, diffusion models, and autoencoders, exploring and implementing these techniques to push the boundaries of biological AI. Who We're Looking For: You have a Bachelor's degree in Computer Science, Computer Engineering, Mathematics, Physics, or a relevant technical field. You have a PhD with 2 years of research experience, or a Bachelor's degree with 4+ years of research or industry experience in Deep Learning, Artificial Intelligence, or other relevant fields. You have a strong publication record in top-tier AI conferences or journals (e.g., NeurIPS, ICML, ICLR). You have extensive hands-on experience building and training generative models, such as diffusion models, GANs, VAEs, normalizing flows, or autoregressive models. You are proficient in Python and have expertise in at least one major deep learning framework (PyTorch, TensorFlow, or JAX). Who You Are: You have excellent problem-solving skills and the ability to quickly adapt to new challenges. You exhibit a proactive approach to problem-solving, thinking beyond the specific task, taking ownership of challenges, and taking pride in solving them. You have a mature mindset in ambiguous situations, helping to frame questions and seek clarity while making decisions in the face of uncertainty. You have excellent communication skills and can clearly articulate complex technical concepts. You are motivated by making a real impact and are committed to tackling problems of significant consequence with determination and creativity. Bonus points: You have experience applying machine learning to biological or chemical problems. You have knowledge of physics, molecular biology, chemistry, computational biology, bioinformatics, cheminformatics or related fields. You have experience with multi-modal learning. You have contributed to open-source machine learning projects. You have experience in developing efficient code in C/C++. Our Values ❤️ Heart: We foster a culture of ownership. We are assembling a team of individuals who are passionate and take pride in their contributions. 🏆 Excellence: We have an unwavering commitment to excellence and continuously challenge ourselves to reach the highest standards. 🚀 Practicality: We value practicality and results-oriented thinking. We are committed to making a tangible impact on the lives of patients and the broader community. 📣 Honesty: We place a high value on honesty and directness. We firmly believe in addressing issues as they arise, in an open and transparent manner. 🎮 Fun: We believe that life is too short to not have fun. Our goal is to create a workplace that is fun, engaging, rewarding and fulfilling. What We Offer We encourage new and different ideas, creativity and contrarian thinking Healthy feedback focused environment to help you strive - leadership will have high expectations, regularly share constructive feedback, support you and help you grow, and welcome receiving feedback and ideas from you You own your day-to-day management. What we care about is that we all hit our milestones Competitive salary and equity in a growing, well-funded startup Excellent medical, dental, and vision coverage Compensation Range: $120K - $250K

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Expert Professionals — AI & Data Science Type: Contract Compensation: $70–$100/hour Location: Remote Commitment: 40 hours/week Role Responsibilities • Guide research and engineering teams to close knowledge gaps in AI and data science domains. Surface nuances that distinguish expert-level work from surface-level reasoning., • Design challenging agentic tasks rooted in real-world ML, data science, data engineering, and software workflows. Write accurate, well-documented solutions that serve as ground truth., • Evaluate AI agent outputs against your solutions. Provide detailed written feedback capturing correctness, efficiency, and reasoning quality., • Develop and refine evaluation frameworks and rubrics for assessing agentic behavior on AI and data science tasks., • Collaborate with other subject matter experts to ensure consistency and accuracy in training data. Qualifications Must-Have • 3+ years of research, academic, or industry experience in Machine Learning, Data Science, Software Engineering, Computer Science, Statistics, Biology, Electrical/Mechanical/Civil Engineering, Physics, Chemistry, Mathematics, Materials Science, or other STEM background., • Demonstrated technical expertise in programming, data analysis, ML modeling, statistical methods, or computational methods., • Ability to commit to 40 hours per week during weekdays for the duration of the engagement., • Strong written communication skills and the ability to explain technical decisions clearly. Preferred • Prior experience with data annotation, labeling, evaluation, or human feedback collection., • Experience with LLMs, AI systems, or agentic workflows; familiarity with agentic frameworks. Application Process (Takes 20–30 mins to complete) • Upload resume, • AI interview based on your resume, • Submit form Resources & Support • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome, • For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Expert Professionals — AI & Data Science Type: Contract Compensation: $70–$100/hour Location: Remote Commitment: 40 hours/week Role Responsibilities • Guide research and engineering teams to close knowledge gaps in AI and data science domains. Surface nuances that distinguish expert-level work from surface-level reasoning., • Design challenging agentic tasks rooted in real-world ML, data science, data engineering, and software workflows. Write accurate, well-documented solutions that serve as ground truth., • Evaluate AI agent outputs against your solutions. Provide detailed written feedback capturing correctness, efficiency, and reasoning quality., • Develop and refine evaluation frameworks and rubrics for assessing agentic behavior on AI and data science tasks., • Collaborate with other subject matter experts to ensure consistency and accuracy in training data. Qualifications Must-Have • 3+ years of research, academic, or industry experience in Machine Learning, Data Science, Software Engineering, Computer Science, Statistics, Biology, Electrical/Mechanical/Civil Engineering, Physics, Chemistry, Mathematics, Materials Science, or other STEM background., • Demonstrated technical expertise in programming, data analysis, ML modeling, statistical methods, or computational methods., • Ability to commit to 40 hours per week during weekdays for the duration of the engagement., • Strong written communication skills and the ability to explain technical decisions clearly. Preferred • Prior experience with data annotation, labeling, evaluation, or human feedback collection., • Experience with LLMs, AI systems, or agentic workflows; familiarity with agentic frameworks. Application Process (Takes 20–30 mins to complete) • Upload resume, • AI interview based on your resume, • Submit form Resources & Support • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome, • For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Expert Professionals — STEM Research Type: Contract Compensation: $70–$100/hour Location: Remote Commitment: 40 hours/week Role Responsibilities • Guide research teams to close knowledge gaps in STEM domains by surfacing edge cases, ambiguities, and frontier problems where current models underperform., • Design challenging, rigorous domain tasks and write accurate, well-reasoned solutions that demonstrate expert-level scientific and technical reasoning., • Evaluate tasks and solutions produced by AI agents and other contributors, providing clear written technical feedback grounded in domain expertise., • Develop evaluation frameworks and rubrics for assessing scientific reasoning quality across STEM domains., • Collaborate with other subject matter experts to ensure consistency and accuracy in training data. Qualifications Must-Have • PhD (completed, enrolled, or equivalent research track) in Physics, Chemistry, Biology, Mathematics, Statistics, Computer Science, Electrical Engineering, Mechanical Engineering, Civil Engineering, Materials Science, or another STEM discipline., • 3+ years of research, academic, or industry experience in their primary STEM domain., • Demonstrated technical expertise in at least one domain: computational modeling, laboratory methods, data analysis, statistical inference, programming, or equivalent scientific methods., • Ability to commit to 40 hours per week during weekdays for the duration of the engagement., • Strong written communication skills; ability to explain complex scientific or technical concepts clearly in writing. Preferred • Prior experience with data annotation, labeling, evaluation, or human feedback collection., • Experience with LLMs, AI systems, or agentic workflows; familiarity with agentic frameworks. Compensation & Legal • W-2 employment with Cincinnatus LLC. Application Process (Takes 20–30 mins to complete) • Upload resume, • AI interview based on your resume, • Submit form Resources & Support • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome, • For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Expert Professionals — AI & Data Science Type: Contract Compensation: $70–$100/hour Location: Remote Commitment: 40 hours/week Role Responsibilities • Guide research and engineering teams to close knowledge gaps in AI and data science domains. Surface nuances that distinguish expert-level work from surface-level reasoning., • Design challenging agentic tasks rooted in real-world ML, data science, data engineering, and software workflows. Write accurate, well-documented solutions that serve as ground truth., • Evaluate AI agent outputs against your solutions. Provide detailed written feedback capturing correctness, efficiency, and reasoning quality., • Develop and refine evaluation frameworks and rubrics for assessing agentic behavior on AI and data science tasks., • Collaborate with other subject matter experts to ensure consistency and accuracy in training data. Qualifications Must-Have • 3+ years of research, academic, or industry experience in Machine Learning, Data Science, Software Engineering, Computer Science, Statistics, Biology, Electrical/Mechanical/Civil Engineering, Physics, Chemistry, Mathematics, Materials Science, or other STEM background., • Demonstrated technical expertise in programming, data analysis, ML modeling, statistical methods, or computational methods., • Ability to commit to 40 hours per week during weekdays for the duration of the engagement., • Strong written communication skills and the ability to explain technical decisions clearly. Preferred • Prior experience with data annotation, labeling, evaluation, or human feedback collection., • Experience with LLMs, AI systems, or agentic workflows; familiarity with agentic frameworks. Application Process (Takes 20–30 mins to complete) • Upload resume, • AI interview based on your resume, • Submit form Resources & Support • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome, • For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Job Description We are sharing a specialised part-time consulting opportunity for PhD-level professionals experienced in theoretical physics, string theory, quantum field theory, particle physics, nuclear physics, advanced problem design, and structured scientific evaluation. This role supports current and upcoming remote consulting opportunities focused on advanced physics problem creation, theoretical reasoning review, technical writing, research-informed task development, and high-quality project execution. Selected professionals will apply their physics expertise to create difficult problems in their specialized domain, evaluate technical reasoning, prepare structured written outputs, and support accurate, evidence-based physics workflows. Key Responsibilities Professionals in this role may contribute to: Advanced Physics Problem Creation • Create difficult, domain-specific problems in string theory, quantum field theory, particle physics, nuclear physics, or closely related areas, • Develop problems that require rigorous reasoning, technical accuracy, mathematical formalism, and deep subject matter understanding, • Write clear reference solutions, expected reasoning paths, and structured answer explanations, • Ensure submitted work reflects strong domain knowledge and high-quality scientific standards Theoretical Reasoning & Technical Review • Review physics outputs for correctness, clarity, completeness, and reasoning quality, • Evaluate assumptions, derivations, mathematical steps, physical interpretation, and conclusions against domain-specific standards, • Identify reasoning gaps, unsupported conclusions, ambiguity, and expected technical outcomes, • Provide structured feedback that improves task quality and evaluation consistency Research-Informed Task Development • Apply PhD-level physics training to design challenging tasks grounded in advanced theoretical and mathematical concepts, • Translate complex domain expertise into clear, structured, evaluable task formats, • Follow detailed project instructions and complete technical assignments with accuracy and sustained focus, • Maintain accuracy, consistency, and professional judgment across submitted work Ideal Profile Strong candidates may have: • PhD in Physics with specialization in string theory, quantum field theory, particle physics, nuclear physics, or a closely related field, • Graduate degree from a U.S., U.K., Canadian, Western European, or comparable research university, • Strong command of advanced theoretical physics, mathematical formalism, derivations, and rigorous scientific reasoning, • Excellent written and verbal communication skills in English, • High attention to detail and strong analytical judgment, • Ability to follow complex instructions and produce rigorous technical outputs independently Educational Background • PhD in Physics is strongly preferred, • Research experience, academic publications, postdoctoral work, teaching experience, or advanced technical writing experience is highly relevant, • Equivalent high-level research experience in theoretical physics, particle physics, nuclear physics, or closely related fields may also be valuable depending on project scope Nice to Have • Experience creating advanced problem sets, graduate-level teaching materials, benchmark-style questions, or technical assessments, • Background in research, peer review, academic publishing, scientific writing, or university-level instruction, • Strong familiarity with mathematical notation, derivations, proof-style reasoning, computational physics, or domain-specific modeling tools, • Ability to explain complex physics concepts clearly and precisely, • Availability to complete approximately 4–6 rigorous tasks per week during active project periods Why This Opportunity • Apply PhD-level theoretical physics expertise to structured remote project work, • Contribute to high-quality scientific problem design, technical reasoning review, and advanced analytical task development, • Work on flexible assignments aligned with your physics research background, • Use your subject matter judgment in a focused, rigorous review environment, • Remote structure with competitive hourly compensation Contract Details • Independent contractor role, • Fully remote with flexible scheduling, • Ongoing project structure with rolling applications, • Expected contribution of approximately 4–6 tasks per week depending on project availability, • Competitive rates between $90–$120 per hour depending on expertise, • Weekly payments via Stripe or Wise, • Selected professionals may complete a short AI interview and application form before joining the project, • Projects may be extended, shortened, or adjusted depending on scope and performance, • Work will not involve access to confidential or proprietary information from any employer, client, or institution About the Platform This opportunity is available through 24-MAG LLC. We connect experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams. By submitting this application, you acknowledge that your information may be processed by 24-MAG LLC for recruitment and opportunity matching in accordance with our Privacy Policy: https://www.24-mag.com/privacy-policy.

Job Description Job Title: Quantum Optics Scientist (Post-Doc) Location: Hoboken, NJ Division: Technology Department: R&D About Us Quantum Computing Inc. (QCi) (Nasdaq: QUBT) is an innovative, integrated photonics company that provides accessible and affordable quantum machines to the world today. QCi products are designed to operate at room temperature and low power at an affordable cost. The Company’s portfolio of core technology and products offer unique capabilities in the areas of high-performance computing, artificial intelligence, cyber security as well as remote sensing applications. Position Description We are seeking a Postdoctoral Researcher in Quantum Optics to join our research and development team focused on QCi’s entropy quantum computing solutions. This position is structured as a one-year contract, with the opportunity for extension based on satisfactory performance and mutual consent by both parties. The role emphasizes theoretical modeling and simulation of quantum photonic devices and systems and requires strong expertise in quantum optics. The successful candidate will collaborate closely with both the high-performance computing application team and the entropy computing hardware team to advance QCi’s next-generation computational technologies. Duties and Responsibilities • Develop and apply theoretical models of quantum photonic devices and systems relevant to entropy quantum computing., • Perform simulations of optical components, integrated photonic circuits, and light matter interactions to guide device design., • Explore new architectures in quantum optics that enhance the efficiency and scalability of entropy-based computing solutions., • Contribute to algorithm–hardware co-design by identifying opportunities where photonic implementations provide competitive advantages., • Explore and develop quantum algorithms compatible with entropy computing in collaboration with the scientific computing group at QCi., • Publish and present research outcomes in journals and conferences. Required Skills and Experience • PhD in Physics, Applied Physics, Electrical Engineering, or a closely related field with a focus on theoretical quantum optics., • Deep expertise in quantum optics, including fields such as quantum coherence, entanglement, cavity/circuit QED, or nonlinear optics., • Strong background in mathematical modeling and numerical simulation of photonic or quantum systems., • Proficiency in scientific programming languages such as Python, MATLAB, or C++., • Demonstrated research record with publications in leading journals., • Strong communication skills and ability to work collaboratively across interdisciplinary teams. Preferred Qualifications • Familiarity with quantum information science, quantum computing, or related computational approaches., • Experience with integrated photonics, waveguide-based systems, or light–matter interaction models., • Knowledge of statistical physics approaches to open quantum systems and noise modeling., • Industry, government, or academic R&D experience in quantum technologies., • Experience mentoring junior researchers or working in collaborative project teams. Incumbent(s) in this position may be required to perform other duties and special assignments not specifically stated above. Statements outlined in this section are designated as essential job functions in accordance with the Americans with Disabilities Act of 1990.

Job Description We are sharing a specialised part-time consulting opportunity for PhD-level professionals experienced in advanced STEM research, technical problem design, scientific reasoning, domain-specific evaluation, and structured analytical task development. This role supports current and upcoming remote consulting opportunities focused on advanced scientific problem creation, domain-specific reasoning review, technical writing, research-informed task development, and high-quality project execution. Selected professionals will apply their subject matter expertise to create challenging problems in their field, evaluate technical reasoning, prepare structured written outputs, and support accurate, evidence-based STEM workflows. Key Responsibilities Professionals in this role may contribute to: Advanced STEM Problem Creation • Create difficult, domain-specific problems across fields such as mathematics, biology, chemistry, physics, computer science, statistics, economics, or related STEM areas, • Develop problems that require advanced reasoning, technical accuracy, and strong subject matter understanding, • Write clear reference solutions, expected reasoning paths, and structured answer explanations, • Ensure submitted work reflects rigorous domain knowledge and high-quality technical standards Technical Review & Scientific Reasoning • Review scientific or quantitative outputs for correctness, clarity, completeness, and reasoning quality, • Evaluate assumptions, calculations, methodologies, and conclusions against domain-specific standards, • Identify reasoning gaps, unsupported conclusions, ambiguity, and expected technical outcomes, • Provide structured feedback that helps improve task quality and evaluation consistency Research-Informed Task Development • Apply PhD-level research experience to design challenging tasks grounded in real scientific, mathematical, computational, or analytical concepts, • Translate complex domain expertise into clear, structured, evaluable task formats, • Work independently on technical assignments requiring sustained focus and careful written communication, • Maintain accuracy, consistency, and professional judgment across submitted work Ideal Profile Strong candidates may have: • PhD in a STEM field such as mathematics, biology, chemistry, physics, computer science, statistics, economics, engineering, or a related technical discipline, • Strong subject matter expertise and ability to design difficult problems within a specialized domain, • Excellent written and verbal communication skills in English, • High attention to detail and strong analytical judgment, • Ability to work independently and deliver high-quality technical outputs, • Comfort working on ongoing remote projects with structured requirements and clear deadlines Educational Background • PhD from a U.S., U.K., Canadian, European, or comparable research university in a STEM field is strongly preferred, • Research experience, academic publications, teaching experience, technical writing, or advanced applied work is highly relevant, • Equivalent high-level research or domain expertise may also be relevant depending on project scope Nice to Have • Experience creating advanced problem sets, research tasks, technical assessments, or benchmark-style materials, • Background in teaching, tutoring, academic research, peer review, technical evaluation, or scientific writing, • Strong familiarity with mathematical notation, scientific methods, computational reasoning, data analysis, or domain-specific research tools, • Ability to explain complex concepts clearly and precisely, • Availability for approximately 15–20 hours per week, with potential for increased project volume depending on performance and project needs Why This Opportunity • Apply PhD-level STEM expertise to structured remote project work, • Contribute to high-quality scientific problem design, technical reasoning review, and advanced analytical task development, • Work on flexible assignments aligned with your academic or research background, • Use your subject matter judgment in a focused, rigorous review environment, • Remote structure with competitive hourly compensation Contract Details • Independent contractor role, • Fully remote with flexible scheduling, • Expected commitment of approximately 15–20 hours per week, with potential for expanded availability depending on project needs, • Ongoing project structure with rolling applications, • Competitive rates between $65–$105 per hour depending on expertise, • Weekly payments via Stripe or Wise, • Selected professionals may complete a short interview as part of the process, • Projects may be extended, shortened, or adjusted depending on scope and performance, • Work will not involve access to confidential or proprietary information from any employer, client, or institution About the Platform This opportunity is available through 24-MAG LLC. We connect experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams. By submitting this application, you acknowledge that your information may be processed by 24-MAG LLC for recruitment and opportunity matching in accordance with our Privacy Policy: https://www.24-mag.com/privacy-policy.

Job DescriptionAbout Thea Energy: Thea Energy is leveraging recent breakthroughs in stellarator physics and engineering to create a faster and simpler approach to commercializing fusion energy. The company is reinventing the stellarator using computer-controlled arrays of planar coils thereby replacing the intricate, complex modular magnets required in all other stellarator architectures. Thea Energy is on a mission to create a limitless source of zero emission energy for a sustainable future. Position Overview: We are seeking a highly motivated plasma physicist to join our team, focusing on the analysis, simulation, and optimization of the divertor region of a stellarator magnetic field. The ideal candidate will possess a strong background in plasma physics, with a particular emphasis on plasma fluid models, neutral particle models, and/or atomic processes within plasmas. Experience with the boundary of fusion devices is a plus. You will work on a dynamic team, contributing to cutting-edge research and development in Thea Energy’s stellarator systems. Key Responsibilities: • Develop and implement algorithms for the simulation of fluid plasmas within complex magnetic edge topologies., • Conduct simulations and analyses of collisional edge plasma in stellarators, coupled with neutral-particle and atomic physics models., • Collaborate with cross-disciplinary teams to design stellarator divertor systems., • Perform data analysis, model validation, and provide insights into the physical mechanisms governing plasma behavior., • Prepare technical reports, presentations, and publications based on design, optimization, and simulation results., • Stay up to date with the latest advancements in computational plasma physics, fusion energy, and optimization techniques.Required Experience & Skillsets: Qualifications: • PhD in Plasma Physics, Computational Physics, Applied Physics, or a related field, or bachelor’s degree in a relevant field with 5+ years of experience or master’s degree in relevant field with 2+ years of experience., • Strong knowledge of computational plasma physics and numerical simulations., • Experience with the boundary of fusion devices, especially stellarators or tokamaks, is a plus., • Proficiency in programming languages commonly used in scientific computing (e.g. Python, Fortran, C++, and MATLAB)., • Familiarity with simulation tools used in plasma physics research. Preferred Skills: • Experience with edge plasma models such as FLARE, DESC, SOLPS, UEDGE, and EMC3-EIRENE., • Experience working on an integrated plasma physics experimental device, ideally a stellarator or tokamak., • Understanding of plasma fluid models and neutral particle models., • Familiarity with Plasma-Material Interactions., • Experience in high-performance computing (HPC) environments.. Personal Attributes: • Excellent analytical, problem-solving, and communication skills., • Ability to work independently and manage projects., • Strong attention to detail and a passion for advancing the field of fusion energy research., • Willingness to collaborate with a diverse team of scientists and engineers within the company and externally.Company Benefits:, • Salary range $120,000 - $170,000, • Comprehensive health benefits (e.g. medical/dental/vision), • Employee equity stock options, • 20 days PTOIt’s not necessary to meet all of the skillsets outlined above. Please feel free to send us a note and tell us why you would still be a great fit for this role or Thea Energy. Diversity and Inclusion: Thea Energy is an equal opportunity employer committed to creating a company of diverse backgrounds. By creating a diverse environment, we will bring new ideas and approaches to solving some of the world’s hardest (and most important) problems. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, sexual orientation, gender identity or expression, national origin, family or marital status, age, disability, veteran’s status, or other characteristic protected by applicable laws and regulations. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description We are sharing a specialised part-time consulting opportunity for professionals experienced in materials science, materials R&D, characterization workflows, process development, reliability analysis, computational materials work, and structured scientific documentation. This role supports current and upcoming remote consulting opportunities focused on structured materials science review, R&D workflow analysis, experimental documentation, characterization report assessment, simulation review, technology transfer materials, and high-quality project execution. Selected professionals will apply their materials science expertise to review realistic research scenarios, evaluate technical requirements, prepare structured written outputs, and support accurate, evidence-based materials R&D workflow tasks. Key Responsibilities Professionals in this role may contribute to: Materials R&D & Experimental Workflow Review • Review materials science scenarios involving experimental write-ups, project proposals, research plans, process development notes, and technology transfer materials, • Evaluate R&D documentation against source materials, technical requirements, experimental constraints, and expected scientific outcomes, • Support structured review of research records, lab documentation, project memos, IP disclosures, and materials development workflows, • Identify missing assumptions, documentation gaps, technical inconsistencies, and expected research review outcomes Characterization, Reliability & Failure Analysis • Review characterization scenarios involving XRD, SEM/TEM, spectroscopy, thermal analysis, reliability testing, failure analysis, and advanced materials evaluation, • Evaluate characterization reports and test outputs against documented criteria, source data, material properties, and technical requirements, • Support structured review of metals, polymers, ceramics, composites, semiconductor materials, or related materials systems, • Prepare clear written explanations for materials science decisions based on source materials and verifiable technical criteria Computational Materials & Process Documentation • Review computational or simulation-based workflows involving DFT, molecular dynamics, process simulations, simulation results, and model documentation, • Support structured review of materials workflows connected to tools such as VASP, Materials Studio, LabVantage, LabWare LIMS, ANSYS Fluent, STAR-CCM+, or similar systems, • Translate materials science workflows into clear, structured task documentation and review criteria, • Maintain accuracy, consistency, and professional judgment across submitted work Ideal Profile Strong candidates may have: • 3+ years of experience in materials science, materials R&D, characterization, process development, computational materials science, reliability engineering, failure analysis, or related scientific roles, • Background in one or more areas such as metals, polymers, ceramics, composites, semiconductor materials, characterization, DFT, molecular dynamics, process scale-up, or advanced materials reliability, • Familiarity with tools and systems such as VASP, Materials Studio, LabVantage, LabWare LIMS, ANSYS Fluent, STAR-CCM+, microscopy platforms, spectroscopy tools, or similar research systems, • Comfort reading and preparing materials science artifacts such as experimental write-ups, characterization reports, simulation results, technology transfer memos, IP disclosures, project proposals, and research summaries, • Strong analytical thinking and written communication skills, • Ability to translate materials science workflows into clear, structured task documentation Educational Background • Master's or PhD degree in materials science, chemistry, physics, chemical engineering, mechanical engineering, electrical engineering, or a related scientific field is helpful, • Equivalent practical experience in materials R&D, characterization, computational materials science, process development, or reliability analysis is also highly relevant Nice to Have • Experience in Fortune 500 R&D, national labs, R1 university research groups, semiconductor materials, advanced manufacturing, chemical materials, or industrial materials development, • Familiarity with XRD, SEM/TEM, spectroscopy, thermal analysis, DFT, molecular dynamics, LIMS, process simulation, scale-up, or failure analysis workflows, • Experience preparing or reviewing characterization reports, experimental records, simulation outputs, technology transfer memos, IP disclosures, project proposals, or reliability reports, • Strong attention to detail in scientific, experimental, and documentation-heavy research environments, • Experience translating complex technical work into clear written specifications or review criteria Why This Opportunity • Apply materials science and R&D expertise to structured remote project work, • Contribute to high-quality materials workflow review, characterization documentation, simulation assessment, and research scenario development, • Work on flexible, project-based assignments aligned with your scientific background, • Use your materials science judgment in a focused, detail-oriented research environment, • Remote structure with competitive hourly compensation Contract Details • Independent contractor role, • Fully remote with flexible scheduling, • Part-time commitment depending on project availability, • Competitive rates between $60–$85 per hour depending on expertise, • Weekly payments via Stripe or Wise, • Projects may be extended, shortened, or adjusted depending on scope and performance, • Work will not involve access to confidential or proprietary information from any employer, client, or institution About the Platform This opportunity is available through 24-MAG LLC. We connect experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams. By submitting this application, you acknowledge that your information may be processed by 24-MAG LLC for recruitment and opportunity matching in accordance with our Privacy Policy: https://www.24-mag.com/privacy-policy.

Job DescriptionAbout Thea Energy: Thea Energy is leveraging recent breakthroughs in stellarator physics and engineering to create a faster and simpler approach to commercializing fusion energy. The company is reinventing the stellarator using computer-controlled arrays of planar coils thereby replacing the intricate, complex modular magnets required in all other stellarator architectures. Thea Energy is on a mission to create a limitless source of zero emission energy for a sustainable future. Position Overview:We are seeking a highly motivated Plasma-Materials Scientist to join our team, focusing on plasma-facing material development. The ideal candidate will possess a strong background in the research and development of plasma-surface interactions, with particular emphasis on material survivability evaluation, plasma and heat-induced erosion processes, and plasma contamination effects in fusion-relevant environments. You will work with high autonomy and ownership, and contribute to cutting-edge research and development in Thea Energy’s stellarator systems.Key responsibilities: • Contribute to the construction and commissioning of a plasma device and diagnostics for exposing and evaluating plasma-facing material candidates., • Collaborate with plasma-material exposure facilities and use materials characterization tools for surface evaluation., • Provide technical guidance across team members in plasma device operation, plasma-material performance assessment and experimental planning., • Participate in stellarator plasma-facing component operational campaign planning., • Utilize computational and simulation tools to perform plasma-surface interaction simulations, thermal analysis, and contribute to multi-physics modeling efforts.Required Experience & Skillsets:, • Master's degree in materials science, engineering, applied plasma physics, chemistry, or a related field., • Knowledge of basic plasma physics., • Experience with vacuum systems., • Experience with experimental plasma setups and diagnostics such as industrial plasma sources, RF plasmas, spectroscopic diagnostics, laser-based diagnostics, and electrostatic probes., • Experience with surface analysis techniques such as electron microscopy, atomic-scale microscopy, and elemental composition analysis methods (e.g. XPS, EDX, Raman)., • Experience with one or more of the following: Python, MATLAB, FEA tools, COMSOL, C++, Fortran., • Ability to work independently and manage projects., • Strong attention to detail, • A passion for advancing fusion energy to commercialization., • Willingness to collaborate with a diverse team of scientists and engineers within the company and externally.Ideal Experience & Skillsets:, • PhD in applied plasma physics or a related field., • Experience with fusion boundary plasmas and/or low-temperature plasmas., • Experience with linear plasma devices., • Experience in tokamak or stellarator divertor research., • Experience with ERO2.0, TRIDYN, SDTrimSP/TRIM, WALLDYN, or RustBCA.Company Benefits:, • Salary range $100,000-$160,000, • Comprehensive health benefits (e.g. medical/dental/vision), • Employee equity stock options, • 20 days PTOIt’s not necessary to meet all of the skillsets outlined above. Please feel free to send us a note and tell us why you would still be a great fit for this role or Thea Energy. Diversity and Inclusion: Thea Energy is an equal opportunity employer committed to creating a company of diverse backgrounds. By creating a diverse environment, we will bring new ideas and approaches to solving some of the world’s hardest (and most important) problems. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, sexual orientation, gender identity or expression, national origin, family or marital status, age, disability, veteran’s status, or other characteristic protected by applicable laws and regulations. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionAbout Thea Energy: Thea Energy is leveraging recent breakthroughs in stellarator physics and engineering to create a faster and simpler approach to commercializing fusion energy. The company is reinventing the stellarator using computer-controlled arrays of planar coils thereby replacing the intricate, complex modular magnets required in all other stellarator architectures. Thea Energy is on a mission to create a limitless source of zero emission energy for a sustainable future. Position Overview: We are seeking highly motivated Computational Plasma Physicists to join our team, focusing on stellarator and fusion plasma physics simulations. The ideal candidate will possess a strong background in computational physics, with a particular emphasis on MHD stability in stellarators and stellarator optimization. You will work with minimal supervision, contributing to cutting-edge research and development in Thea Energy’s stellarator systems. Key Responsibilities: • Develop and implement algorithms for analyzing and improving stellarator configurations., • Conduct simulations and analysis of fusion plasma behavior in stellarators, using advanced computational models., • Collaborate with cross-disciplinary teams to refine designs and improve the performance of stellarator systems., • Perform data analysis, model validation, and provide insights into the physical mechanisms governing plasma behavior., • Prepare technical reports, presentations, and publications based on simulation results and optimization findings.Required Experience & Skillsets: Qualifications: • PhD in Plasma Physics, Computational Physics, Applied Physics, or a related field, or master’s degree in relevant field with 2+ years of experience., • Strong knowledge of computational plasma physics and numerical simulations., • Experience with stellarators is a plus., • Proficiency in programming languages commonly used in scientific computing (e.g., Python, Fortran, C++, or MATLAB)., • Excellent analytical, problem-solving, and communication skills. Preferred Skills: • Experience with any of the stellarator design, stability or transport codes such as DESC, STELLOPT, VMEC, TERPSICHORE, M3DC-1, GX, GENE-3D., • Understanding of optimized stellarator magnetic field generation and coil optimization techniques., • Experience in high-performance computing (HPC) environments. Personal Attributes: • Ability to work independently and manage projects with minimal supervision., • Strong attention to detail and a passion for advancing the field of fusion energy research., • Willingness to collaborate with a diverse team of scientists and engineers within the company and externally.Company Benefits:, • Salary range $120,000 - $140,000, • Comprehensive health benefits (e.g. medical/dental/vision), • Employee equity stock options, • 20 days PTOIt’s not necessary to meet all of the skillsets outlined above. Please feel free to send us a note and tell us why you would still be a great fit for this role or Thea Energy. Diversity and Inclusion: Thea Energy is an equal opportunity employer committed to creating a company of diverse backgrounds. By creating a diverse environment, we will bring new ideas and approaches to solving some of the world’s hardest (and most important) problems. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, sexual orientation, gender identity or expression, national origin, family or marital status, age, disability, veteran’s status, or other characteristic protected by applicable laws and regulations. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionAbout Thea Energy: Thea Energy is leveraging recent breakthroughs in stellarator physics and engineering to create a faster and simpler approach to commercializing fusion energy. The company is reinventing the stellarator using computer-controlled arrays of planar coils thereby replacing the intricate, complex modular magnets required in all other stellarator architectures. Thea Energy is on a mission to create a limitless source of zero emission energy for a sustainable future. Position Overview: As a transport modeling physicist at Thea Energy, you will be an architect of our plasma performance projections. You will apply advanced kinetic and fluid models to characterize heat, particle, and momentum transport in highly-optimized stellarator geometries. Your objective is to transform fundamental physics into actionable constraints, guiding our equilibrium+coil optimization and operational scenarios to ensure the success of our next generation fusion devices. Key Responsibilities: • Perform/analyze integrated modeling simulations to predict performance and develop scenarios for Thea Energy’s Eos and Helios stellarators., • Utilize gyrokinetic, fluid, and/or reduced transport solvers to provide projections of confinement, heat, particle, and momentum transport., • Maintain and extend existing gyrokinetic and transport frameworks, • Build reproducible simulation pipelines and data analysis tools to streamline the design-to-validation loop., • Use insights from turbulence and transport analysis to guide equilibrium and coil optimization., • Collaborate with the physics and engineering team to develop scenarios and interpret results from current hardware.Required Experience & Skillsets: Qualifications: • PhD in Plasma Physics, Computational Physics, Applied Mathematics, or a related field. (Candidates with a Master’s degree and 3+ years of direct experience in transport/turbulence modeling will be considered)., • Strong understanding of gyrokinetic theory and transport processes, • Expertise in developing scientific simulation codes using Python, C++, or Fortran., • Proven experience working in Linux-based HPC environments with a focus on code scalability and performance. Preferred Skills: • Direct experience running core (e.g. GENE, stella, CGYRO, GX) and/or edge (GENE-X, XGC, Gkeyll) gyrokinetic codes., • Experience with stellarator-specific equilibrium and stability codes such as VMEC, STELLOPT, DESC, and/or TERPSICHORE., • Familiarity with advanced numerical methods, GPU programming, and/or developing surrogate/reduced models., • A track record of peer-reviewed publications and the ability to present complex physics to multi-disciplinary engineering teams. Personal Attributes: • Ability to manage complex projects from theory to implementation with minimal supervision., • A passion for fusion energy and a desire to work in a fast-paced, collaborative startup environment., • Rigorous approach to code verification and physics validation.Company Benefits:, • Salary range $100,000 - $140,000, • Comprehensive health benefits (e.g. medical/dental/vision), • Employee equity stock options, • 20 days PTOIt’s not necessary to meet all of the skillsets outlined above. Please feel free to send us a note and tell us why you would still be a great fit for this role or Thea Energy. Diversity and Inclusion: Thea Energy is an equal opportunity employer committed to creating a company of diverse backgrounds. By creating a diverse environment, we will bring new ideas and approaches to solving some of the world’s hardest (and most important) problems. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, sexual orientation, gender identity or expression, national origin, family or marital status, age, disability, veteran’s status, or other characteristic protected by applicable laws and regulations. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Expert Professionals — AI & Data Science Type: Contract Compensation: $70–$100/hour Location: Remote Commitment: 40 hours/week Role Responsibilities • Guide research and engineering teams to close knowledge gaps in AI and data science domains. Surface nuances that distinguish expert-level work from surface-level reasoning., • Design challenging agentic tasks rooted in real-world ML, data science, data engineering, and software workflows. Write accurate, well-documented solutions that serve as ground truth., • Evaluate AI agent outputs against your solutions. Provide detailed written feedback capturing correctness, efficiency, and reasoning quality., • Develop and refine evaluation frameworks and rubrics for assessing agentic behavior on AI and data science tasks., • Collaborate with other subject matter experts to ensure consistency and accuracy in training data. Qualifications Must-Have • 3+ years of research, academic, or industry experience in Machine Learning, Data Science, Software Engineering, Computer Science, Statistics, Biology, Electrical/Mechanical/Civil Engineering, Physics, Chemistry, Mathematics, Materials Science, or other STEM background., • Demonstrated technical expertise in programming, data analysis, ML modeling, statistical methods, or computational methods., • Ability to commit to 40 hours per week during weekdays for the duration of the engagement., • Strong written communication skills and the ability to explain technical decisions clearly. Preferred • Prior experience with data annotation, labeling, evaluation, or human feedback collection., • Experience with LLMs, AI systems, or agentic workflows; familiarity with agentic frameworks. Application Process (Takes 20–30 mins to complete) • Upload resume, • AI interview based on your resume, • Submit form Resources & Support • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome, • For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Expert Professionals — STEM Research Type: Contract Compensation: $70–$100/hour Location: Remote Commitment: 40 hours/week Role Responsibilities • Guide research teams to close knowledge gaps in STEM domains by surfacing edge cases, ambiguities, and frontier problems where current models underperform., • Design challenging, rigorous domain tasks and write accurate, well-reasoned solutions that demonstrate expert-level scientific and technical reasoning., • Evaluate tasks and solutions produced by AI agents and other contributors, providing clear written technical feedback grounded in domain expertise., • Develop evaluation frameworks and rubrics for assessing scientific reasoning quality across STEM domains., • Collaborate with other subject matter experts to ensure consistency and accuracy in training data. Qualifications Must-Have • PhD (completed, enrolled, or equivalent research track) in Physics, Chemistry, Biology, Mathematics, Statistics, Computer Science, Electrical Engineering, Mechanical Engineering, Civil Engineering, Materials Science, or another STEM discipline., • 3+ years of research, academic, or industry experience in their primary STEM domain., • Demonstrated technical expertise in at least one domain: computational modeling, laboratory methods, data analysis, statistical inference, programming, or equivalent scientific methods., • Ability to commit to 40 hours per week during weekdays for the duration of the engagement., • Strong written communication skills; ability to explain complex scientific or technical concepts clearly in writing. Preferred • Prior experience with data annotation, labeling, evaluation, or human feedback collection., • Experience with LLMs, AI systems, or agentic workflows; familiarity with agentic frameworks. Compensation & Legal • W-2 employment with Cincinnatus LLC. Application Process (Takes 20–30 mins to complete) • Upload resume, • AI interview based on your resume, • Submit form Resources & Support • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome, • For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Expert Professionals — STEM Research Type: Contract Compensation: $70–$100/hour Location: Remote Commitment: 40 hours/week Role Responsibilities • Guide research teams to close knowledge gaps in STEM domains by surfacing edge cases, ambiguities, and frontier problems where current models underperform., • Design challenging, rigorous domain tasks and write accurate, well-reasoned solutions that demonstrate expert-level scientific and technical reasoning., • Evaluate tasks and solutions produced by AI agents and other contributors, providing clear written technical feedback grounded in domain expertise., • Develop evaluation frameworks and rubrics for assessing scientific reasoning quality across STEM domains., • Collaborate with other subject matter experts to ensure consistency and accuracy in training data. Qualifications Must-Have • PhD (completed, enrolled, or equivalent research track) in Physics, Chemistry, Biology, Mathematics, Statistics, Computer Science, Electrical Engineering, Mechanical Engineering, Civil Engineering, Materials Science, or another STEM discipline., • 3+ years of research, academic, or industry experience in their primary STEM domain., • Demonstrated technical expertise in at least one domain: computational modeling, laboratory methods, data analysis, statistical inference, programming, or equivalent scientific methods., • Ability to commit to 40 hours per week during weekdays for the duration of the engagement., • Strong written communication skills; ability to explain complex scientific or technical concepts clearly in writing. Preferred • Prior experience with data annotation, labeling, evaluation, or human feedback collection., • Experience with LLMs, AI systems, or agentic workflows; familiarity with agentic frameworks. Compensation & Legal • W-2 employment with Cincinnatus LLC. Application Process (Takes 20–30 mins to complete) • Upload resume, • AI interview based on your resume, • Submit form Resources & Support • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome, • For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Job Description We are sharing a specialised part-time consulting opportunity for PhD-level professionals experienced in advanced physics, theoretical modeling, mathematical formalism, problem design, scientific reasoning, and structured technical evaluation. This role supports current and upcoming remote consulting opportunities focused on advanced physics problem creation, domain-specific reasoning review, technical writing, research-informed task development, and high-quality project execution. Selected professionals will apply their physics expertise to create difficult problems in their specialized domain, evaluate technical reasoning, prepare structured written outputs, and support accurate, evidence-based physics workflows. Key Responsibilities Professionals in this role may contribute to: Advanced Physics Problem Creation • Create difficult, domain-specific physics problems across advanced theoretical, mathematical, and applied physics areas, • Develop problems that require rigorous reasoning, technical accuracy, mathematical formalism, and deep subject matter understanding, • Write clear reference solutions, expected reasoning paths, and structured answer explanations, • Ensure submitted work reflects strong domain knowledge and high-quality scientific standards Technical Review & Scientific Reasoning • Review physics outputs for correctness, clarity, completeness, and reasoning quality, • Evaluate assumptions, derivations, mathematical steps, physical interpretation, and conclusions against domain-specific standards, • Identify reasoning gaps, unsupported conclusions, ambiguity, and expected technical outcomes, • Provide structured feedback that improves task quality and evaluation consistency Research-Informed Task Development • Apply PhD-level physics training to design challenging tasks grounded in real scientific, mathematical, and theoretical concepts, • Translate complex domain expertise into clear, structured, evaluable task formats, • Follow detailed project instructions and complete technical assignments with accuracy and sustained focus, • Maintain accuracy, consistency, and professional judgment across submitted work Ideal Profile Strong candidates may have: • PhD in Physics or a closely related field, • Strong expertise in one or more advanced physics subdomains, such as statistical mechanics, condensed matter physics, AMO physics, quantum mechanics, electrodynamics, classical mechanics, string theory, QFT, particle physics, nuclear physics, general relativity, astrophysics, or cosmology, • Graduate degree from a U.S., U.K., Canadian, Western European, or comparable research university, • Excellent written and verbal communication skills in English, • High attention to detail and strong analytical judgment, • Ability to follow complex instructions and produce rigorous technical outputs independently Educational Background • PhD in Physics is strongly preferred, • Research experience, academic publications, postdoctoral work, teaching experience, or advanced technical writing experience is highly relevant, • Equivalent high-level research experience in applied physics, theoretical physics, astrophysics, or closely related fields may also be valuable depending on project scope Nice to Have • Experience creating advanced problem sets, graduate-level teaching materials, benchmark-style questions, or technical assessments, • Background in research, peer review, academic publishing, scientific writing, or university-level instruction, • Strong familiarity with mathematical notation, derivations, proof-style reasoning, computational physics, or domain-specific modeling tools, • Ability to explain complex physics concepts clearly and precisely, • Availability to complete several rigorous tasks per week during active project periods Why This Opportunity • Apply PhD-level physics expertise to structured remote project work, • Contribute to high-quality scientific problem design, technical reasoning review, and advanced analytical task development, • Work on flexible assignments aligned with your physics research background, • Use your subject matter judgment in a focused, rigorous review environment, • Remote structure with competitive hourly compensation Contract Details • Independent contractor role, • Fully remote with flexible scheduling, • Ongoing project structure with rolling applications, • Expected contribution of approximately 4–6 tasks per week depending on project availability, • Competitive rates between $100–$125 per hour depending on expertise, • Weekly payments via Stripe or Wise, • Selected professionals may complete a short AI interview and application form before joining the project, • Projects may be extended, shortened, or adjusted depending on scope and performance, • Work will not involve access to confidential or proprietary information from any employer, client, or institution About the Platform This opportunity is available through 24-MAG LLC. We connect experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams. By submitting this application, you acknowledge that your information may be processed by 24-MAG LLC for recruitment and opportunity matching in accordance with our Privacy Policy: https://www.24-mag.com/privacy-policy.

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Expert Professionals — STEM Research Type: Contract Compensation: $70–$100/hour Location: Remote Commitment: 40 hours/week Role Responsibilities • Guide research teams to close knowledge gaps in STEM domains by surfacing edge cases, ambiguities, and frontier problems where current models underperform., • Design challenging, rigorous domain tasks and write accurate, well-reasoned solutions that demonstrate expert-level scientific and technical reasoning., • Evaluate tasks and solutions produced by AI agents and other contributors, providing clear written technical feedback grounded in domain expertise., • Develop evaluation frameworks and rubrics for assessing scientific reasoning quality across STEM domains., • Collaborate with other subject matter experts to ensure consistency and accuracy in training data. Qualifications Must-Have • PhD (completed, enrolled, or equivalent research track) in Physics, Chemistry, Biology, Mathematics, Statistics, Computer Science, Electrical Engineering, Mechanical Engineering, Civil Engineering, Materials Science, or another STEM discipline., • 3+ years of research, academic, or industry experience in their primary STEM domain., • Demonstrated technical expertise in at least one domain: computational modeling, laboratory methods, data analysis, statistical inference, programming, or equivalent scientific methods., • Ability to commit to 40 hours per week during weekdays for the duration of the engagement., • Strong written communication skills; ability to explain complex scientific or technical concepts clearly in writing. Preferred • Prior experience with data annotation, labeling, evaluation, or human feedback collection., • Experience with LLMs, AI systems, or agentic workflows; familiarity with agentic frameworks. Compensation & Legal • W-2 employment with Cincinnatus LLC. Application Process (Takes 20–30 mins to complete) • Upload resume, • AI interview based on your resume, • Submit form Resources & Support • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome, • For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity. #hiringmercor

Flatiron Research Fellows in CCB are individuals at the postdoctoral level with backgrounds in one or more of the following areas: computational biology, computer science, biophysics, computer science, engineering, applied mathematics, statistics, mathematical physics, engineering, or related discip

Key Qualifications PhD in Mechanical Engineering, Thermal Engineering, or a closely related field with a strong focus on thermal‑fluid sciences, plus ~5+ years of post‑PhD industry experience. The company sits at the intersection of computational physics, simulation, and AI‑driven design auto

AI Trainer for Computational Physics (Freelance, Remote) United States $110,000. Postdoctoral degree in Physics, Applied Physics, or a related field are eligible and encouraged to apply. Ability to explain physics concepts clearly using simple language, visuals, and physics reasoning.

Intuit is seeking highly motivated individuals to join our dynamic team as dedicated Tax Associates – Retail On-Site in one of our new TurboTax locations across the United States on a seasonal basis.This unique opportunity combines tax expertise, entrepreneurial spirit, and community engagement to

We are seeking a results-driven customer experience expert with a natural talent for consultative selling for groundbreaking new TurboTax customer-focused Retail locations across the United States.This role is for someone who thrives on guiding customers to the perfect solution and enjoys the satisf

Intuit is seeking highly motivated individuals to join our dynamic team as dedicated Tax Experts – Retail On-Site in one of our new TurboTax locations across the United States on a seasonal basis.This unique opportunity combines tax expertise, entrepreneurial spirit, and community engagement to he

Intuit is seeking highly motivated individuals to join our dynamic team as dedicated Tax Experts – Retail On-Site in one of our new TurboTax locations across the United States on a seasonal basis.This unique opportunity combines tax expertise, entrepreneurial spirit, and community engagement to he

We are seeking a results-driven customer experience expert with a natural talent for consultative selling for groundbreaking new TurboTax customer-focused Retail locations across the United States.This role is for someone who thrives on guiding customers to the perfect solution and enjoys the satisf

Intuit is seeking highly motivated individuals to join our dynamic team as dedicated Tax Associates – Retail On-Site in one of our new TurboTax locations across the United States on a seasonal basis.This unique opportunity combines tax expertise, entrepreneurial spirit, and community engagement to

We are seeking a results-driven customer experience expert with a natural talent for consultative selling for groundbreaking new TurboTax customer-focused Retail locations across the United States.This role is for someone who thrives on guiding customers to the perfect solution and enjoys the satisf