Apply advanced gravitation and cosmology expertise to research-level AI training benchmarks. This remote contractor project offers flexible work at $80–$160 per hour for about 10 hours weekly over 8–10 weeks.
Generative AI & RLHF
100% Remote Hourly · $80–$160/hr
$80–$160/hr
Compensation
Worldwide
Eligibility
Entry
Experience
Aug 5, 2026
Posted
Open worldwide
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OpenTrain AI helps people build careers in AI training and data labeling, the human side of creating modern artificial intelligence. Contributors use their expertise to prepare examples, review model outputs, and provide feedback that improves advanced AI systems.
For subject-matter experts, OpenTrain offers a way to turn specialized knowledge into flexible remote contractor work while building an AI training portfolio.
About AI Training Work
AI training involves people solving problems, evaluating responses, and explaining what makes an answer accurate, rigorous, and useful. In specialized projects, expert judgment helps AI systems handle demanding technical subjects more reliably.
This role focuses on written analytical solutions and expert evaluation for research-level gravity and cosmology benchmark problems. Prior AI training experience is not required; strong subject-matter knowledge is the most important qualification.
The Role
OpenTrain AI is seeking a Gravitational Physics AI Training Expert to support AI training work involving advanced gravitation, cosmology, and theoretical physics. You will use structured human expertise, careful review, and clear written feedback to help improve AI-generated technical work.
The project is fully remote and open worldwide. Work is conducted in English as an independent contractor assignment.
Role type: Part-time contractor
Time commitment: Approximately 10 hours per week
Project duration: 8 to 10 weeks
Advertised pay: $80 to $160 per hour
Work location: Remote, worldwide
Working language: English
What You'll Do
You will develop, solve, and interpret demanding theoretical and computational physics problems. Your work may also include reviewing expert responses and assessing the quality, clarity, and correctness of specialized benchmark results.
Provide detailed analytical and numerical solutions involving first-order Palatini gravity
Work with tetrad and spin connection approaches
Analyze Pontryagin density contributions and extended gravity theories
Handle Friedmann equations with torsion
Formulate, solve, and interpret coupled nonlinear cosmological ODE systems
Critically evaluate theoretical and computational results
Apply Planck-unit normalization consistently
Review expert responses and assess specialized benchmark quality and clarity
Required Expertise
Applicants should have advanced academic training in physics, with an emphasis on gravitation, cosmology, astrophysics, or a related field. A PhD or equivalent background is expected for the subject-matter work.
Prior AI training experience is not required. However, you must be able to reason carefully through advanced models, communicate technical conclusions in clear written English, follow detailed guidelines, and work independently on remote contractor tasks.
Advanced academic training in physics focused on gravitation, cosmology, astrophysics, or a related field
Expertise in first-order Palatini gravity
Knowledge of tetrad and spin connection formalisms
Ability to derive, solve, and interpret nonlinear cosmological ODE systems
Understanding of Pontryagin density and Dynamical Chern-Simons modifications
Experience with higher-order curvature corrections
Ability to apply Planck-unit normalization and interpret theoretical models
Strong written English and clear technical reasoning
Careful attention to detail and ability to follow detailed instructions
Comfort working independently as a remote contractor
Why Build an AI Training Career with OpenTrain
AI training is a fast-growing field where specialists help shape how cutting-edge systems reason, communicate, and perform. OpenTrain gives experts one place to discover opportunities, build a unified record of AI training work, and develop a durable career applying their knowledge to emerging AI systems.
This project is designed for flexible part-time participation, making it possible to contribute specialized physics expertise alongside other professional or academic commitments.
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