Physics Researcher (Remote | $60–$120/hr)

Synthires; India; Remote; INR 7,790,000 - 15,581,000; Part time

Benefits offered by this job

Fully remote

Flexible schedule

Job summary

Synthires is seeking experienced Physics Scientists to support AI training and evaluation projects focused on physics and related scientific disciplines. You will design challenging problems, evaluate AI-generated solutions, and assess accuracy and reliability of outputs while collaborating remotely with a global team.

You should have strong Python skills, deep expertise in a physics specialization, hands-on experience with scientific modeling or numerical analysis, and prior paid experience in

Qualifications

• Deep expertise in at least one physics specialization.
• Hands-on experience with physics modeling or numerical analysis.
• Prior paid professional experience in AI training, model evaluation, or benchmarking.

Responsibilities

• Design challenging, realistic physics problems based on scientific research and professional practice.
• Develop clear task instructions, reproducible environments, reference solutions, and objective evaluation criteria.
• Evaluate AI-generated physics calculations, models, simulations, code, and other technical deliverables.
• Identify incorrect physical assumptions, numerical errors, physically impossible results, and methodological flaws.
• Assess the accuracy, consistency, and reliability of AI-generated scientific reasoning.
• Validate solutions using established physical principles, mathematical methods, analytical results, and experimental evidence.
• Provide structured technical feedback to improve AI model performance on advanced physics-related tasks.

Skills

Python

Physics specialization

Numerical analysis

Analytical thinking

Technical communication

Tools

NumPy

SciPy

SymPy

Astropy

PyTorch

JAX

Job description

We are seeking experienced Physics Scientists to support AI training and evaluation projects focused on physics and related scientific disciplines. In this role, you will apply your expertise in physics, scientific reasoning, and technical analysis to develop challenging problems, evaluate AI-generated solutions, and assess the accuracy and reliability of scientific outputs.

Candidates should have strong Python skills, deep expertise in at least one physics specialization, hands‑on experience with scientific modeling or numerical analysis, and prior paid experience in AI training, model evaluation, or benchmarking involving scientific or technical tasks.

Key Responsibilities

• Design challenging, realistic physics problems based on scientific research and professional practice.
• Develop clear task instructions, reproducible environments, reference solutions, and objective evaluation criteria.
• Evaluate AI-generated physics calculations, models, simulations, code, and other technical deliverables.
• Identify incorrect physical assumptions, numerical errors, physically impossible results, and methodological flaws.
• Assess the accuracy, consistency, and reliability of AI-generated scientific reasoning.
• Validate solutions using established physical principles, mathematical methods, analytical results, and experimental evidence.
• Provide structured technical feedback to improve AI model performance on advanced physics-related tasks.

Required Qualifications

• Deep expertise in at least one physics specialization, such as:
• Theoretical Physics, Applied Physics, Computational Physics, Astrophysics, Cosmology, Condensed Matter Physics, Quantum Physics, Nuclear or Particle Physics
• Hands‑on experience with physics modeling, scientific simulations, numerical analysis, or research data analysis.
• Prior paid professional experience in AI training, model evaluation, or benchmarking involving scientific or technical tasks.
• Ability to evaluate complex physics problems, validate calculations, and identify errors in scientific reasoning.
• Strong analytical, problem‑solving, and technical communication skills.

Preferred Qualifications

• Experience creating AI training tasks, reference solutions, evaluation rubrics, graders, or scientific benchmarks.
• Familiarity with scientific Python libraries and frameworks such as NumPy, SciPy, SymPy, Astropy, PyTorch, or JAX.
• Experience validating theoretical or computational results against analytical solutions, experimental findings, or observational data.
• A strong research background, including publications, preprints, or technical contributions in physics.
• Availability to begin immediately.

Compensation & Engagement

• Compensation: $60–$120 per hour equivalent, paid per accepted task.
• Work Arrangement: Fully remote, worldwide.
• Time Commitment: 15+ hours per week, with a flexible schedule.