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1\. Role Overview Mercor is collaborating with a leading AI research lab on a project to advance frontier physics problem-solving. We are looking for physics experts who hold a PhD or Master’s degree, or have experience participating in the International Physics Olympiad (IPhO). The goal of this project is to create novel, clear, and challenging Olympiad-style physics problems that cause the frontier AI models to fail (i.e. generate an incorrect response) and support the training of cutting-edge AI models. This is a short-term, high impact, remote opportunity for those excited about applying their expertise to frontier AI research, with the possibility of extension based on performance. ## 2\. Key Responsibilities - Write original & advanced IPhO-style physics problems to challenge frontier AI models - Evaluate AI-generated solutions for correctness, clarity and style and identify where models fail - Identify logical flaws, incomplete reasoning, or insufficiently-rigorous proofs - Provide clear, concise, and correct solutions & chain of thought reasoning using proper LaTeX formatting - Maintain extremely high standards of precision and problem difficulty ## 3\. Required Qualifications Note: Applicants must be highly proficient in writing and formatting documents using LaTeX You are a good fit for the project if you have any of the following experiences: - Have a Master’s or PhD in physics (or a related field), or are an Olympiad participant or medalist in the IPhO (preferred) or equivalent competitions (RPhO, CPhO, APhO, EuPhO, USAPhO, BPhO, INPhO, JPhO, UPC, IYPT, CUPT). Other qualifications: - Deep understanding of your domain’s core theoretical and experimental concepts - Ability to articulate reasoning and derivations clearly in written form - Strong ability to evaluate the rigor and complexity of physics problems - Rigorous attention to detail in verifying solutions ## 4\. More About the Opportunity - Expected commitment: 20 hours/week minimum; up to 40 hours/week available - Approximate project length: ~2 months, with extension potential - Rolling start dates; setup typically within 1–2 days of approval ## 5\. Compensation & Contract Terms - $60-80/hr dependent on experience + performance - Open to contributors worldwide (English proficiency required) - Independent contractor engagement - Payments issued weekly via Stripe Connect ## 6\. Application Process - Submit your resume or CV highlighting physics background and relevant achievements - Complete a brief interview (20–30 minutes) - Submit a short form detailing your experience writing problems and competing in physics competitions - Selected applicants will be contacted within a few days with next steps ## 7\. About Mercor - Mercor is a talent marketplace that connects top experts with leading AI labs and research organizations. - Our investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey. - Thousands of professionals across domains like law, creatives, engineering, and research have partnered with Mercor to contribute to frontier projects shaping the next era of AI. We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.

Overview: We are looking for a Bilingual STEM Expert (German and English) to review, evaluate, and refine AI-generated content involving scientific, mathematical, and technical reasoning across both languages. Your expertise in STEM fields and bilingual communication will be critical to ensuring technical accuracy, translation quality, and instructional clarity. * * * Job Details: Content Evaluation & Auditing: - Review AI-generated STEM content (science, technology, engineering, and mathematics) to ensure technical correctness, logical flow, and conceptual clarity. - Evaluate explanations, problem-solving steps, and final outputs for precision in both German and English. - Identify and document translation errors, scientific inaccuracies, or ambiguities in AI outputs. Multilingual Translation Validation: - Verify that German and English translations preserve the original content's technical meaning, scientific terminology, and intended logic. - Detect and resolve language-specific nuances that could impact learner comprehension. Annotation & Feedback: - Provide clear, structured feedback to improve the quality of AI-generated content and annotation. - Review and suggest refinements to guidelines for STEM topics, problems, and reasoning processes. * * * Ideal Qualifications: Generalist, STEM & Linguistic Proficiency: - Fluent in German and English, with proven experience working on content across both languages. - Solid background in science, engineering, mathematics, or a related technical field. - Experience in bilingual instruction, scientific writing, technical translation, or curriculum development is highly desirable. Analytical Thinking & Problem Solving: - Strong ability to break down complex scientific and technical topics clearly. - High attention to detail and logical consistency in STEM reasoning. - Communication & Feedback Skills: - Familiarity with reviewing or developing educational STEM content, especially for AI or digital learning platforms. * * * Minimum Qualifications: - Master’s degree or PhD in STEM fields (e.g., Engineering, Science, Mathematics, Technology, or related disciplines). - Fluency in both German and English (spoken and written). - 2+ years of experience in the STEM/Generalist field. - Prior experience with annotation, curriculum design, or AI content review is a plus. * * * ### Additional Details: - The role is remote and asynchronous, i.e., you can primarily work on your schedule. - This project will require approximately 15-20 work hours per week. - This position is structured with clear expectations. * * * Application and Onboarding Process: - After submitting your resume, you will have a 15-minute conversation with our AI interviewer to test your research and reasoning skills. - Within a few days, we will reach out for a follow-up call or decision on your application and move forward with project onboarding soon after. About : - Our team is based in San Francisco, CA - Our investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey

1\. Role Overview Mercor is collaborating with a leading AI research lab on a project to advance frontier chemistry problem-solving. We are looking for chemistry experts who hold a PhD or Master’s degree, or have experience participating in the International Chemistry Olympiad (IChO). The goal of this project is to create novel, clear, and challenging Olympiad-style chemistry problems that cause the frontier AI models to fail (i.e. generate an incorrect response) and support the training of cutting-edge AI models. This is a short-term, high impact, remote opportunity for those excited about applying their expertise to frontier AI research, with the possibility of extension based on performance. ## 2\. Key Responsibilities - Write original & advanced IChO-style chemistry problems to challenge frontier AI models - Evaluate AI-generated solutions for correctness, clarity and style and identify where models fail - Identify logical flaws, incomplete reasoning, or insufficiently-rigorous proofs - Provide clear, concise, and correct solutions & chain of thought reasoning using proper LaTeX formatting - Maintain extremely high standards of precision and problem difficulty ## 3\. Required Qualifications Note: Applicants must be highly proficient in writing and formatting documents using LaTeX You are a good fit for the project if you have any of the following experiences: - Have a Master’s or PhD in chemistry (or a related field), or are an Olympiad participant or medalist in the IChO (preferred) or equivalent competitions (AsChO, EChO, EUSO, IJSO, NChO, UKChO, USNCO, CCO, INChO, RChO and MChO). Other qualifications: - Deep understanding of your domain’s core theoretical and experimental concepts - Ability to articulate reasoning and derivations clearly in written form - Strong ability to evaluate the rigor and complexity of chemistry problems - Rigorous attention to detail in verifying solutions ## 4\. More About the Opportunity - Expected commitment: 20 hours/week minimum; up to 40 hours/week available - Approximate project length: ~2 months, with extension potential - Rolling start dates; setup typically within 1–2 days of approval ## 5\. Compensation & Contract Terms - $60-80/hr dependent on experience + performance - Open to contributors worldwide (English proficiency required) - Independent contractor engagement - Payments issued weekly via Stripe Connect ## 6\. Application Process - Submit your resume or CV highlighting chemistry background and relevant achievements - Complete a brief interview (20–30 minutes) - Submit a short form detailing your experience writing problems and competing in chemistry competitions - Selected applicants will be contacted within a few days with next steps ## 7\. About Mercor - Mercor is a talent marketplace that connects top experts with leading AI labs and research organizations. - Our investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey. - Thousands of professionals across domains like law, creatives, engineering, and research have partnered with Mercor to contribute to frontier projects shaping the next era of AI. We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.

1\. Role Overview Mercor is collaborating with a leading AI research lab on a project to advance frontier astronomy problem-solving. We are looking for astronomy experts who hold a PhD or Master’s degree, or have experience participating in the International Astronomy Olympiad (IAO). The goal of this project is to create novel, clear, and challenging Olympiad-style astronomy problems that cause frontier AI models to fail (i.e., generate an incorrect response) and to support the training of cutting-edge AI reasoning systems. This is a short-term, high-impact, remote opportunity for those excited about applying their expertise to frontier AI research, with the possibility of extension based on performance. ### 2\. Key Responsibilities - Write original & advanced IAO-style astronomy problems to challenge frontier AI models - Evaluate AI-generated solutions for correctness, clarity, and reasoning quality, and identify where models fail - Identify logical flaws, incomplete reasoning, or insufficiently rigorous derivations - Provide clear, concise, and correct solutions and reasoning, formatted in LaTeX - Maintain extremely high standards of precision, scientific rigor, and problem difficulty ### 3\. Required Qualifications Note: Applicants must be highly proficient in writing and formatting documents using LaTeX You are a good fit for the project if you have any of the following experiences: - Have a Master’s or PhD in astronomy (or a related field), or are an Olympiad participant or medalist in the IAO (preferred) or equivalent competitions (RAO, CAO, IAO TST, AAO, EuAO, USAAO, BAO, INAO, JAO, UAC, IAYPT, CAUT, etc.) Other qualifications: - Deep understanding of core theoretical and observational concepts in astronomy and astrophysics - Ability to articulate reasoning and derivations clearly in written form - Strong ability to evaluate the rigor and complexity of astronomy problems - Rigorous attention to detail in verifying solutions ### 4\. More About the Opportunity - Expected commitment: 20 hours/week minimum; up to 40 hours/week available - Project length: ~2 months, with potential for extension - Rolling start dates; setup typically within 1–2 days of approval ### 5\. Compensation & Contract Terms - $60–80/hr, dependent on experience and performance - Open to contributors worldwide (English proficiency required) - Independent contractor engagement - Payments issued weekly via Stripe Connect ### 6\. Application Process 1. Submit your resume or CV highlighting your astronomy background and relevant achievements 2. Complete a brief interview (20–30 minutes) 3. Submit a short form detailing your experience writing problems and competing in astronomy or related Olympiads 4. Selected applicants will be contacted within a few days with next steps ### 7\. About Mercor Mercor is a talent marketplace that connects top experts with leading AI labs and research organizations. Our investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey. Thousands of professionals across domains such as science, engineering, and research have partnered with Mercor to contribute to frontier AI projects shaping the next era of technology. We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.

1\. Role Overview Mercor is collaborating with a leading AI research lab on a project to advance frontier biology problem-solving. We are looking for biology experts who hold a PhD or Master’s degree, or have experience participating in the International Biology Olympiad (IBO). The goal of this project is to create novel, clear, and challenging Olympiad-style biology problems that cause the frontier AI models to fail (i.e. generate an incorrect response) and support the training of cutting-edge AI models. This is a short-term, high impact, remote opportunity for those excited about applying their expertise to frontier AI research, with the possibility of extension based on performance. ## 2\. Key Responsibilities - Write original & advanced IBO-style biology problems to challenge frontier AI models - Evaluate AI-generated solutions for correctness, clarity and style and identify where models fail - Identify logical flaws, incomplete reasoning, or insufficiently-rigorous proofs - Provide clear, concise, and correct solutions & chain of thought reasoning using proper LaTeX formatting - Maintain extremely high standards of precision and problem difficulty ## 3\. Required Qualifications Note: Applicants must be highly proficient in writing and formatting documents using LaTeX You are a good fit for the project if you have any of the following experiences: - Have a Master’s or PhD in biology (or a related field), or are an Olympiad participant or medalist in the IBO (preferred) or equivalent competitions (RBO, CBO, IBO TST, ABO, EUBO, USABO, BBO, INBO, JBO, UBC, IBO Challenge, NSBO, etc.) Other qualifications: - Deep understanding of your domain’s core theoretical and experimental concepts - Ability to articulate reasoning and derivations clearly in written form - Strong ability to evaluate the rigor and complexity of biology problems - Rigorous attention to detail in verifying solutions ## 4\. More About the Opportunity - Expected commitment: 20 hours/week minimum; up to 40 hours/week available - Approximate project length: ~2 months, with extension potential - Rolling start dates; setup typically within 1–2 days of approval ## 5\. Compensation & Contract Terms - $60-80/hr dependent on experience + performance - Open to contributors worldwide (English proficiency required) - Independent contractor engagement - Payments issued weekly via Stripe Connect ## 6\. Application Process - Submit your resume or CV highlighting biology background and relevant achievements - Complete a brief interview (20–30 minutes) - Submit a short form detailing your experience writing problems and competing in biology competitions - Selected applicants will be contacted within a few days with next steps ## 7\. About Mercor - Mercor is a talent marketplace that connects top experts with leading AI labs and research organizations. - Our investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey. - Thousands of professionals across domains like law, creatives, engineering, and research have partnered with Mercor to contribute to frontier projects shaping the next era of AI. We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.

Mercor is seeking PhD holders, doctoral candidates, and exceptional Master’s graduates in chemistry and related fields to join a high-impact AI research initiative in collaboration with a leading artificial intelligence lab. * * * ### Key Domains Here is a list of domains. If you belong to or have expertise in one or more of them, feel free to apply — we’re excited to have you on the team! Core Chemistry Disciplines: General Chemistry, Inorganic Chemistry, Organic Chemistry, Physical Chemistry Analytical and Specialized Chemistry: Analytical Chemistry, Electrochemistry, Radiochemistry, Polymer Chemistry Biological and Medicinal Chemistry: Biochemistry and Molecular Biology, Medicinal Chemistry Chemical Engineering and Process Sciences: Chemical Engineering and Technology, Fluid Flow and Heat Transfer in Chemical Engineering, Mass Transport and Separation Processes, Chemical Reaction Engineering * * * ### Key Responsibilities - Evaluate the scientific accuracy, reasoning, and technical rigor of LLM-generated content across chemical disciplines. - Review outputs on topics spanning molecular structure, kinetics, thermodynamics, catalysis, reaction mechanisms, and industrial processes. - Identify and document factual inaccuracies, logical inconsistencies, and reasoning gaps. - Provide structured feedback and benchmarking using specialized evaluation tools. - Work independently and asynchronously as part of a distributed research team. * * * ### Requirements - PhD (candidate/recipient) or Masters in Chemistry, Chemical Engineering, Biochemistry, or a closely related field. - Strong command of graduate-level chemistry concepts and scientific problem solving. - Excellent written communication and analytical thinking skills. - Ability to work independently in a remote, asynchronous environment. - Strong proficiency in Python, particularly for scientific analysis and model evaluation, is required. * * * ### Role Details - Part-time (approximately 20 hours/week) - Remote and asynchronous - Flexible schedule * * * ### Compensation - Contractor position via Mercor - $20–$30/hou, based on expertise and domain experience - Weekly payments via Stripe Connect * * * ### About Mercor Mercor is a San Francisco-based company connecting top professionals with leading AI initiatives. Investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey.

1\. Role Overview Mercor is collaborating with a leading AI research lab on a project to advance engineering problem-solving at the frontier of artificial intelligence. We are seeking experienced engineers with strong backgrounds in analytical problem design, real-world systems modeling, or competitive engineering problem-solving (university competitions, design challenges, or advanced coursework). The goal of this project is to create novel, rigorous, and multi-step engineering problems that challenge cutting-edge AI models—specifically those that cause the AI to fail or demonstrate reasoning limits—while supporting the improvement and training of advanced AI systems. This is a short-term, high-impact, fully remote opportunity for engineering professionals eager to apply their deep technical expertise to frontier AI research, with the possibility of project continuation based on performance. ## 2\. Key Responsibilities - Design original, advanced engineering problems that require creative reasoning, multi-domain integration, and precise analytical thinking. - Evaluate AI-generated engineering solutions for technical accuracy, completeness, and adherence to physical and practical constraints. - Identify logical gaps, incorrect modeling assumptions, or computational inaccuracies. - Provide complete, clear, and well-documented solutions and derivations using LaTeX formatting for equations and schematics. - Maintain high standards of technical precision, rigor, and conceptual depth. ## 3\. Required Qualifications Note: Applicants must be proficient in creating and formatting technical documents using LaTeX. You are a strong fit for this project if you have one or more of the following: - Advanced degree (or equivalent experience) in mechanical, electrical, civil, aerospace, or chemical engineering, or a related field. - Experience designing or grading complex analytical or design-focused problems (university level or professional exams). - Participation in or mentorship for engineering design or modeling competitions is preferred(e.g., Formula SAE, Shell Eco-marathon, ASME/IEEE/AIChE contests, robotics challenges, or design sprints). - Research or teaching experience involving applied problem formulation and quantitative modeling. Other qualifications: - Deep understanding of core engineering principles and real-world systems. - Ability to communicate step-by-step reasoning, assumptions, and derivations clearly. - Strong intuition for problem difficulty, structure, and conceptual progression. - Detail-oriented verification of results and internal consistency. ## 4\. More About the Opportunity - Time commitment: Minimum 20 hours/week; up to 40 hours/week available - Duration: Approximately 2 months, with strong potential for extension - Rolling onboarding; start typically within 1–2 days after approval ## 5\. Compensation & Contract Terms - $60–80 per hour, depending on experience and demonstrated performance - Open to contributors worldwide (English proficiency required) - Independent contractor arrangement - Weekly payments via Stripe Connect ## 6\. Application Process 1. Submit your resume or CV highlighting your engineering background and relevant accomplishments. 2. Participate in a short interview (20–30 minutes). 3. Complete a brief form outlining your experience with problem design, engineering challenges, or teaching. 4. Selected applicants will receive follow-up steps within a few days. ## 7\. About Mercor Mercor is a talent marketplace connecting top professionals with leading AI research organizations and technology labs. Its investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey. Thousands of professionals across science, engineering, and research disciplines have partnered with Mercor to contribute to frontier AI initiatives shaping the next era of innovation. We encourage all qualified applicants to apply. Mercor provides equal opportunity and reasonable accommodations upon request.

Mercor is seeking PhD holders, doctoral candidates, and outstanding Master’s graduates in physics and related disciplines to join a high-impact AI research initiative in partnership with a leading artificial intelligence lab. * * * ### Key Domains Here is a list of domains. If you belong to or have expertise in one or more of them, feel free to apply — we’re excited to have you on the team! Fundamental Physics: Theoretical Mechanics, Theoretical Optics, Statistical Mechanics, Thermodynamics, Fluid Physics, Optics and Acoustics Modern & Applied Physics: Electromagnetism and Photonics, Atomic and Molecular Physics, Solid State Physics, Semiconductor Physics, Biophysics Space and Cosmological Sciences: Astrophysics and Cosmology Engineering Disciplines: Electrical Engineering, Control Theory and Control Engineering, Mechanical Engineering * * * ### Key Responsibilities - Evaluate scientific correctness, conceptual rigor, and depth of LLM-generated responses across physics and engineering topics. - Review outputs involving mathematical modeling, experimental methods, and theoretical frameworks in physics. - Identify factual errors, reasoning flaws, and conceptual misunderstandings in model outputs. - Benchmark model performance on advanced physics and applied engineering problems. - Work independently and asynchronously using proprietary evaluation tools. * * * ### Requirements - PhD (candidate/recipient) or Masters in Physics, Applied Physics, Electrical or Mechanical Engineering, or a closely related field. - Strong command of graduate-level physics and mathematical reasoning. - Excellent written communication and analytical abilities. - Ability to work independently in a remote, asynchronous setting. - Strong proficiency in Python, particularly for scientific analysis and model evaluation, is required. * * * ### Role Details - Part-time (20 hours/week) - Remote and asynchronous work environment - Flexible schedule to accommodate global contributors * * * ### Compensation - Contractor position via Mercor - $20–$30/hour, depending on expertise and domain depth - Weekly payments through Stripe Connect * * * ### About Mercor Mercor is a San Francisco-based company connecting top professionals with leading AI initiatives. Investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey.

Overview: We are looking for a Bilingual STEM Expert (Spanish and English) to review, evaluate, and refine AI-generated content involving scientific, mathematical, and technical reasoning across both languages. Your expertise in STEM fields and bilingual communication will be critical to ensuring technical accuracy, translation quality, and instructional clarity. * * * Job Details: Content Evaluation & Auditing: - Review AI-generated STEM content (science, technology, engineering, and mathematics) to ensure technical correctness, logical flow, and conceptual clarity. - Evaluate explanations, problem-solving steps, and final outputs for precision in both Spanish and English. - Identify and document translation errors, scientific inaccuracies, or ambiguities in AI outputs. Multilingual Translation Validation: - Verify that Spanish and English translations preserve the original content's technical meaning, scientific terminology, and intended logic. - Detect and resolve language-specific nuances that could impact learner comprehension. Annotation & Feedback: - Provide clear, structured feedback to improve the quality of AI-generated content and annotation. - Review and suggest refinements to guidelines for STEM topics, problems, and reasoning processes. * * * Ideal Qualifications: Generalist, STEM & Linguistic Proficiency: - Fluent in Spanish and English, with proven experience working on content across both languages. - Solid background in science, engineering, mathematics, or a related technical field. - Experience in bilingual instruction, scientific writing, technical translation, or curriculum development is highly desirable. Analytical Thinking & Problem Solving: - Strong ability to break down complex scientific and technical topics clearly. - High attention to detail and logical consistency in STEM reasoning. - Communication & Feedback Skills: - Familiarity with reviewing or developing educational STEM content, especially for AI or digital learning platforms. * * * Minimum Qualifications: - Master’s degree or PhD in STEM fields (e.g., Engineering, Science, Mathematics, Technology, or related disciplines). - Fluency in both Spanish and English (spoken and written). - 2+ years of experience in the STEM/Generalist field. - Prior experience with annotation, curriculum design, or AI content review is a plus. * * * ### Additional Details: - The role is remote and asynchronous, i.e., you can primarily work on your schedule. - This project will require approximately 15-20 work hours per week. - This position is structured with clear expectations. * * * Application and Onboarding Process: - After submitting your resume, you will have a 15-minute conversation with our AI interviewer to test your research and reasoning skills. - Within a few days, we will reach out for a follow-up call or decision on your application and move forward with project onboarding soon after. About : - Our team is based in San Francisco, CA - Our investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey

Role Overview Mercor is driving a leading AI research initiative focused on benchmarking and enhancing model performance across a range of machine learning tasks. We are seeking Machine Learning Researchers and PhDs. This is a remote, short-term engagement with flexible hours and opportunities to contribute to frontier AI evaluation and research. ## Key Responsibilities - Compile external ML competitions into challenging tasks that reflect real-world responsibilities. - Validate implementations against original plans and mark discrepancies. ## Ideal Qualifications - 5+ years of experience in applied machine learning or a PhD in machine learning or related fields. - Strong understanding of ML research methodologies, experimental design, and evaluation practices. - Excellent analytical and technical writing skills. - Experience with reproducibility or benchmarking in ML research preferred. - Detail-oriented and able to deliver high-quality, structured feedback independently. ## Engagement Details - Type: Independent contractor - Mode: Fully remote and asynchronous — work from anywhere, on your own schedule. - Commitment: 20-40 hrs/week (Can go upto 80hrs/week depending on your performance) ## Compensation & Contract Terms - Hourly Pay Rate: Up to $120/hour - Payment: Weekly via Stripe Connect - Contract Type: Independent contractor engagement - Structure: Remote, milestone-based evaluation with flexible scheduling - Application Process - Submit your resume or CV highlighting relevant ML research or engineering experience. - Complete a short AI-based interview and a brief questionnaire about your experience. - Selected candidates will receive detailed onboarding materials and access to the project environment. ## About Mercor Mercor is a global talent marketplace connecting exceptional professionals with leading AI labs and research organizations. Our mission is to empower experts to contribute directly to the most influential and technically advanced AI projects worldwide. Mercor is backed by investors including Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey. Thousands of professionals across disciplines — from research and engineering to law and design — have joined Mercor to build the next generation of artificial intelligence systems.

Mercor is seeking PhD holders, doctoral candidates, and exceptional Master’s graduates in chemistry and related fields to join a high-impact AI research initiative in collaboration with a leading artificial intelligence lab. * * * ### Key Domains Here is a list of domains. If you belong to or have expertise in one or more of them, feel free to apply -- we’re excited to have you on the team! Core Chemistry Disciplines: General Chemistry, Inorganic Chemistry, Organic Chemistry, Physical Chemistry Analytical and Specialized Chemistry: Analytical Chemistry, Electrochemistry, Radiochemistry, Polymer Chemistry Biological and Medicinal Chemistry: Biochemistry and Molecular Biology, Medicinal Chemistry Chemical Engineering and Process Sciences: Chemical Engineering and Technology, Fluid Flow and Heat Transfer in Chemical Engineering, Mass Transport and Separation Processes, Chemical Reaction Engineering * * * ### Key Responsibilities - Evaluate the scientific accuracy, reasoning, and technical rigor of LLM-generated content across chemical disciplines. - Identify and document factual inaccuracies, logical inconsistencies, and reasoning gaps. - Provide structured feedback and benchmarking using specialized evaluation tools. - Work independently and asynchronously as part of a distributed research team. * * * ### Requirements - PhD (candidate/recipient) or Masters in Chemistry, Chemical Engineering, Biochemistry, or a closely related field. - Strong command of graduate-level chemistry concepts and scientific problem solving. - Excellent written communication and analytical thinking skills. - Ability to work independently in a remote, asynchronous environment. * * * ### Role Details - Part-time contract Role(20 hour/week) - Remote and asynchronous - Flexible schedule * * * ### Compensation - Contractor position via Mercor - $20–$30/hour, based on expertise and domain experience - Weekly payments via Stripe Connect * * * ### About Mercor Mercor is a San Francisco-based company connecting top professionals with leading AI initiatives. Investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey.

1\. Role Overview Mercor is seeking computational biology experts to contribute to a unique project with a top-tier AI research organization. This short-term initiative challenges AI models with hidden-answer “mystery problems” grounded in real biological data. Experts will design, validate, and anonymize complex datasets to evaluate model reasoning capabilities, not lookup accuracy. This is a compelling opportunity for data-driven life scientists to shape next-generation AI evaluation benchmarks. 2\. Key Responsibilities • Design biologically grounded problems with a single correct answer and ≥20 plausible distractors • Identify, download, and preprocess datasets from public repositories (e.g., GEO, SRA, NCBI) • Subsample and anonymize datasets to prevent metadata-based inference • Independently validate solutions through custom analysis pipelines and visualizations • Operate within technical constraints (e.g., file size, task time limits) 3\. Ideal Qualifications • Hands-on experience analyzing sequencing or omics datasets (e.g., RNA-seq, WGS, mass spec) • Proficient with bioinformatics tools and formats (e.g., BLAST, samtools, DESeq2, FASTA/FASTQ/BAM) • Comfortable coding in Python, R, or bash, and working in Jupyter notebooks • Understanding of biological experiment design and lab-to-data nuances (e.g., batch effects) • Advanced degree (MS, PhD) or research background in computational biology, genomics, or bioinformatics 4\. More About the Opportunity • Remote and asynchronous — set your own schedule • Expected commitment: 15–20 hours/week • Project duration: ~1 month • Potential for additional projects based on performance and interest 5\. Compensation & Contract Terms • $65–85/hour depending on experience and geography • Paid weekly via Stripe Connect • Structured as a freelance contract — independent contractor status 6\. Application Process • Submit your resume to get started • Qualified applicants will complete a short form assessing technical experience • Follow-up steps may include a sample task or review call • Responses typically within 3–5 business days 7\. About Mercor • Mercor is a talent marketplace that connects top experts with leading AI labs and research organizations. • Our investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey. • Thousands of professionals across domains like law, creatives, engineering, and research have joined Mercor to work on frontier projects shaping the next era of AI.

Job Description The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its Design award winner for inclusivity for 2025. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. Overview With the growth of our Android app, being the most used text-to-speech app in the Play Store, we find the need for a Senior Android Engineer to help us support the new user base as well as work on new and exciting projects to push us forward. This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, passionate about making product decisions, and has experience building great user experiences that delight users. We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount. Our interview process involves several technical interviews and we aim to complete them within 1 week. What You'll Do • Owning major features and working closely with our design team - take ownership of features inside the app and become responsible of delivering high quality features, • Shape the future of our Android team, • Own, maintain and improve reliability metrics for key features, • Participate in discussions across different teams - Product, Design, Engineering, • Review pull requests, and support other teammates, • Handle critical issues or cope with unexpected challenges, • 5+ years of software engineering experience, • Familiarity with Android components, • Experience building or contributing to at least one Android app, • Product design intuition and user empathy, • Drive to push the boundaries of Android UI/UX, • Understanding of the importance of tests and how to approach writing tests, • Self-drive to improve the app and codebase above and beyond what's outlined in the spec, • Rock solid experience with Kotlin, Kotlin Coroutines, Kotlin Flow, Dagger 2, MVVM, Clean Architecture, Background Services, Music Player Service, Android Animations, Jetpack Navigation, JUnit tests, • Excellent communication skills, • User oriented problem solving approach, • Experience building, maintaining, or otherwise contributing to open source projects in Android, • Kotlin, • Kotlin Coroutines, • Kotlin Flow, • Jetpack Navigation, • Dagger 2, • Room, • Custom Views, Canvas & Paint, • Jetpack Compose, • A fast-growing environment where you can help shape the company and product., • An entrepreneurial-minded team that supports risk, intuition, and hustle., • A hands-off management approach so you can focus and do your best work., • An opportunity to make a big impact in a transformative industry., • Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture., • Opportunity to work on a life-changing product that millions of people use., • Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more. Think you're a good fit for this job? Tell us more about yourself and why you're interested in the role when you apply. And don't forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Job DescriptionMission The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies What You'll Do • Lead the design, architecture, and development of native Windows desktop applications using Windows App SDK, WinUI (or related UI frameworks), C#, XAML, and — when needed — C++., • Define and enforce best-practices for Windows desktop development across the codebase: code architecture, performance, memory usage, responsive UI, cross-version compatibility (Windows 10/11+), and maintainability., • Drive accessibility efforts: integrate and validate support for accessibility APIs (e.g. Microsoft UI Automation or other relevant Windows accessibility frameworks), ensure UI controls, focus management, keyboard navigation, screen-reader support, and usability for users with disabilities., • Collaborate closely with product designers, UX researchers, QA, and other stakeholders to shape feature planning, UI/UX architecture, and long-term roadmap for the Windows platform., • Take ownership of full lifecycle of features: conception → design → implementation → testing → release → maintenance. Ensure quality, reliability, and consistency across releases., • 3+ in Windows desktop application development using Windows App SDK, WinUI (or similar), C#, XAML — and ideally additional experience with native Windows code (C++, Win32/WinRT/COM)., • Deep understanding of Windows application architecture, including interop between managed code (.NET) and native code., • Proven track record of designing, building, and shipping production-quality desktop applications, with an emphasis on reliability, performance, scalability, and maintainability., • Strong experience with accessibility APIs on Windows (e.g. Microsoft UI Automation or similar), and a dedication to building accessible and inclusive software., • Excellent software engineering fundamentals: OOP, design patterns, data structures, algorithms, memory management, multi-threading or asynchronous programming (where relevant)., • Experience leading technical design, mentoring other engineers, conducting code reviews, and making architecture-level decisions., • Strong communication skills; ability to articulate tradeoffs, collaborate with cross-functional teams, and drive consensus., • Experience with writing automated tests for UI — unit tests, integration tests, UI automation tests; familiarity with relevant testing frameworks., • Experience with performance optimization for desktop apps (memory usage, startup time, rendering performance, high-DPI support, responsiveness under load)., • Experience with localization/globalization, right-to-left UI support, internationalization, accessibility for multiple regions., • Familiarity with telemetry, analytics, crash reporting, logging, and error monitoring in desktop applications., • Previous experience in shaping CI/CD workflows, release pipelines, and deployment strategies for desktop applications., • A high-impact role: you will define architecture, shape the future of our Windows product, and directly influence what millions of users see and experience., • A collaborative, flat-structure engineering culture — you are not just a coder, but a builder and a decision-maker., • Opportunities to lead — mentor others, steer technical direction, and grow into broader technical leadership (e.g. Tech Lead, Architect)., • Flexibility, autonomy, and responsibility: you define how to solve problems, own features end-to-end, and contribute to long-term product vision. Think you're a good fit for this job? Tell us more about yourself and why you're interested in the role when you apply. And don't forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Mercor is seeking STEM PhDs for a premier project with one of the world's top AI labs. This role pays between $65-100/hour. In this role, you will contribute your subject matter expertise to a cutting-edge project involving state-of-the-art large language models. Specifically, you will help create high-quality data that will inform the future of AI innovation by coming up with difficult problems in your domain. You're a good fit if you: - Have a STEM PhD from a top US university in domains such as Engineering (Mechanical/Chemical/Electrical), Biology, Chemistry, Physics. - Have high attention to detail - Have exceptional written and verbal communication skills Here are more details about the role: - You will interface directly with prominent AI researchers from the lab in a private Slack channel - The role is ongoing starting in March and continuing with rolling applications. - The project is 10-20 hours of work per week with potential to be extended to 40 hours per week - The work is fully remote and asynchronous so it can flexible and subject to your schedule - This project is scoped to last a minimum of 1-2 months With respect to pay and legal status: - You will be legally classified as an hourly contractor for Mercor - We will pay you out at the end of each week via Stripe Connect Screening Process: - You will need to complete a short interview and task that will take 20-30 mins and we will pay for up to 1hour of onboarding time including this and a few onboarding videos if you are hired. Currently, we are only accepting applicants from the U.S., UK, and Canada. ## About Mercor Mercor specializes in recruiting experts for top AI labs and is based in San Francisco, CA. Our investors include Benchmark, General Catalyst, Peter Thiel, Adam D’Angelo, Larry Summers, and Jack Dorsey. * * * Apply today and leverage your leadership and technical expertise to advance cutting-edge AI models!

Role Overview Mercor is collaborating with a leading AI research lab on a project to advance engineering problem-solving at the frontier of artificial intelligence. The goal of this project is to create novel, rigorous, and multi-step engineering problems that challenge cutting-edge AI models—spec

This is a short-term, high-impact, fully remote opportunity for engineering professionals eager to apply their deep technical expertise to frontier AI research, with the possibility of project continuation based on performance. You are a strong fit for this project if you have one or more of the fol

Key Responsibilities - Design original, advanced engineering problems that require creative reasoning, multi-domain integration, and precise analytical thinking. Evaluate AI-generated engineering solutions for technical accuracy, completeness, and adherence to physical and practical constraints. Par

The goal of this project is to create novel, rigorous, and multi-step engineering problems that challenge cutting-edge AI models—specifically those that cause the AI to fail or demonstrate reasoning limits—while supporting the improvement and training of advanced AI systems. Evaluate AI-generate