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Mercor is seeking experienced STEM educators (US High School) for a premier AI pilot project with one of the world’s leading AI research labs. In this role, you will leverage your classroom experience and pedagogical expertise to help shape the future of artificial intelligence. Your insights will contribute to the development of large language models that understand and reflect how expert educators teach and explain complex STEM concepts. Please note, those that are not teachers but personal tutors will be considered for this role. ### You're a great fit if you: - Are a licensed high school teacher in the United States - Have 3+ years of full-time teaching experience - Hold at least a masters degree in education or a STEM subject area - Currently teach a STEM discipline such as:Mathematics, Physics, Chemistry, Biology, Computer Science, Engineering - Routinely design and deliver rigorous, standards-aligned instruction - Can clearly articulate your thought process and teaching strategies - Have strong written communication skills and a passion for education ### Here are more details about the role: - The role begins Mid-July, with rolling start dates thereafter - Requires 10–20 hours/week, with potential to expand to up to 40 hours/week - Fully remote, with flexible working hours - Ideal for educators looking to engage in meaningful part-time work over the summer or alongside teaching responsibilities ### Ideal candidates include: - Public or private school teachers actively teaching STEM subjects - Department heads or instructional coaches in STEM areas - Former teachers recently transitioned from the classroom with continued ties to education - Teachers who have contributed to curriculum development, assessments, or teacher training ### Pay and legal status: - You will be legally classified as an hourly contractor for Mercor - Payments are issued weekly via Stripe Connect ### Screening Process: - You’ll complete an AI interview (15-20 minutes) and then an assessment (45-60 minutes). The assessment will directly assess your clarity of thought, attention to detail, and your potential ability to complete this project. * * * About Mercor Mercor specializes in recruiting domain experts to support AI research and development. Based in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D’Angelo, Larry Summers, and Jack Dorsey. Apply today to help build the next generation of intelligent educational tools—and bring your classroom expertise to the forefront of AI innovation. We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.

Overview: Mercor is seeking highly discerning video evaluators. Specifically: artistic professionals such as video editors, motion graphics designers, producers, animators, cinematographer and others, who can evaluate cinematic short-form videos with an expert eye for taste and aesthetics. This role is ideal for creative industry veterans with refined visual judgment and deep experience across video, film, or motion design. This role begins as early as December 8th. We are looking for candidates who can work 20+ hr/week. ### Conceptualize & Judge Visually Stunning Video Content The exact details of the nature of the job will be described when you join the project, but you should expect one or several from the following: - Review and rank short-form videos (5–15s, 720p–4K) provided by the team. - Use your creative instincts and visual acumen to assess: - Composition, lighting, and motion quality - Emotional impact and narrative clarity - Originality, artistic flair, and aesthetic resonance - Select the most compelling, high-taste submissions from a curated batch of video content. ### Ideal Candidates: - Experienced professionals in motion graphic design, video editing, film editing, animation, or cinematography. - 2+ years working on visually rich projects — feature films, high-end commercials, editorial shoots, etc. - Proven ability to identify and explain what makes a visual experience memorable, tasteful, and emotionally effective. - Deep familiarity with composition, color theory, lighting, visual pacing, and cinematic mood. - A discerning creative eye and strong intuition for cultural and aesthetic trends. ### More details about the role: - This is a remote and asynchronous role — work on your own schedule! - Expect to contribute at least 20 hours per week. - Initial commitment is 1–2 weeks, with potential for extension. - You’ll be working in a structured project environment with clear goals and tools. - This role begins as early as Dec 8. You must be available to start as soon as possible. ### Application and Onboarding Process: - Submit your resume. - Submit your portfolio and other evidence of exceptional work. - Complete an AI-led interview to discuss your talent and experience. This should take around 10 minutes. - If selected, you’ll be contacted for a follow-up conversation and onboarded shortly thereafter. * * * About Mercor: Mercor is a San Francisco-based company connecting top-tier professionals with cutting-edge AI initiatives. Backed by investors like Benchmark, General Catalyst, Adam D’Angelo, and Jack Dorsey, we specialize in accelerating AI development through expert human collaboration.

Mercor is seeking native Mandarin speakers who can read/write in Simplified Chinese and are also medical professionals who have worked in China. This role combines your clinical expertise with language mastery, helping train cutting-edge AI models in the healthcare domain. You will leverage your background in medicine, alongside your bilingual communication skills, to create accurate, culturally nuanced, and technically precise content that reflects real-world medical usage in China. * * * ## Role Responsibilities - Medical Content Development: Translate, adapt, and synthesize complex medical concepts into clear, structured rubrics for AI training. - Bilingual Communication: Write fluently in both Simplified Chinese and English, ensuring accurate terminology and nuanced expression across languages. - Domain Expertise: Provide cultural and medical insights specific to Chinese healthcare, ensuring linguistic accuracy in clinical and professional contexts. - Collaboration: Work closely with reviewers and peers to refine content. * * * ## Ideal Candidates Should Have: - Language Skills: Native-level fluency in Mandarin with strong written and spoken English. - Education: Advanced degree (MD or PhD in related healthcare field). - Experience: 2–6+ years of medical practice, research, or healthcare-related professional experience. - Analytical Abilities: Excellent writing, analytical, and communication skills. Experience in medical writing, instructional design, or academic publishing. - Nice to Haves - Experience with grading, instructional design, or rubric development is a plus. - Familiarity with generative AI models or machine learning concepts is a bonus, but not required. * * * ## More Details About This Role: - This is a remote and asynchronous role — work on your own schedule. - Expect to contribute at least 20 hours per week. - Expect a commitment of around 2 months. - You’ll be working in a structured project environment with clear goals and tools. Application and Onboarding Process: - Submit your resume. - Complete an AI-led interview to assess language ability and professional experience. This should take around 15 minutes. - If selected, you’ll take a follow-up AI-led interview to assess your professional background. - You’ll then complete a paid work trial to determine if this type of work is suited for you. - After that, you’ll receive feedback and be onboarded to the project. * * * About Mercor: Mercor is a San Francisco-based company connecting top-tier professionals with cutting-edge AI initiatives. Backed by investors like Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey, we specialize in accelerating AI development through expert human collaboration.

Senior Marketing Manager (100% Remote). You will work cross-functionally with leadership, marketing, product, and technology teams to design, test, and scale marketing campaigns across channels, monitor performance metrics, experiment with creative and audience strategies, and ensure measurable resu

Role Description Mercor is hiring on behalf of a leading AI research lab to bring on highly skilled Machine Learning Engineers with a proven record of building, training, and evaluating high-performance ML systems in real-world environments. In this role, you will design, implement, and curate high-quality machine learning datasets, tasks, and evaluation workflows that power the training and benchmarking of advanced AI systems. This position is ideal for engineers who have excelled in competitive machine learning settings such as Kaggle, possess deep modelling intuition, and can translate complex real-world problem statements into robust, well-structured ML pipelines and datasets. You will work closely with researchers and engineers to develop realistic ML problems, ensure dataset quality, and drive reproducible, high-impact experimentation. Candidates should have 3+ years of applied ML experience or a strong record in competitive ML, and must be based in India. Ideal applicants are proficient in Python, experienced in building reproducible pipelines, and familiar with benchmarking frameworks, scoring methodologies, and ML evaluation best practices. * * * ## Responsibilities - Frame unique ML problems for enhancing ML capabilities of LLMs. - Design, build, and optimise machine learning models for classification, prediction, NLP, recommendation, or generative tasks. - Run rapid experimentation cycles, evaluate model performance, and iterate continuously. - Conduct advanced feature engineering and data preprocessing. - Implement adversarial testing, model robustness checks, and bias evaluations. - Fine-tune, evaluate, and deploy transformer-based models where necessary. - Maintain clear documentation of datasets, experiments, and model decisions. - Stay updated on the latest ML research, tools, and techniques to push modelling capabilities forward. * * * ## Required Qualifications - At least 3 years of full-time experience in machine learning model development - Technical degree in Computer Science, Electrical Engineering, Statistics, Mathematics, or a related field - Demonstrated competitive machine learning experience (Kaggle, DrivenData, or equivalent) - Evidence of top-tier performance in ML competitions (Kaggle medals, finalist placements, leaderboard rankings) - Strong proficiency in Python, PyTorch/TensorFlow, and modern ML/NLP frameworks - Solid understanding of ML fundamentals: statistics, optimisation, model evaluation, architectures - Experience with distributed training, ML pipelines, and experiment tracking - Strong problem-solving skills and algorithmic thinking - Experience working with cloud environments (AWS/GCP/Azure) - Exceptional analytical, communication, and interpersonal skills - Ability to clearly explain modelling decisions, tradeoffs, and evaluation results - Fluency in English * * * ## Preferred / Nice to Have - Kaggle Grandmaster, Master, or multiple Gold Medals - Experience creating benchmarks, evaluations, or ML challenge problems - Background in generative models, LLMs, or multimodal learning - Experience with large-scale distributed training - Prior experience in AI research, ML platforms, or infrastructure teams - Contributions to technical blogs, open-source projects, or research publications - Prior mentorship or technical leadership experience - Published research papers (conference or journal) - Experience with LLM fine-tuning, vector databases, or generative AI workflows - Familiarity with MLOps tools: Weights & Biases, MLflow, Airflow, Docker, etc. - Experience optimising inference performance and deploying models at scale * * * ## Why Join - Gain exposure to cutting-edge AI research workflows, collaborating closely with data scientists, ML engineers, and research leaders shaping next-generation AI systems. - Work on high-impact machine learning challenges while experimenting with advanced modelling strategies, new analytical methods, and competition-grade validation techniques. - Collaborate with world-class AI labs and technical teams operating at the frontier of forecasting, experimentation, tabular ML, and multimodal analytics. - Flexible engagement options (30–40 hrs/week or full-time) — ideal for ML engineers eager to apply Kaggle-level problem solving to real-world, production-grade AI systems. - Fully remote and globally flexible — optimised for deep technical work, async collaboration, and high-output research environments.

Gray Digital Media is seeking a solutions-oriented professional with a strong digital sales background to join our dynamic sales team.This remote position is responsible for the development, retention, and growth of digital revenue in the Jackson, TN market.The Media Executive will design and sell d