AI Research Experts – Physics & Scientific Research

Truelancer AI; United States; Remote; USD 83,000 - 124,000; Part time

Job summary

Truelancer AI is seeking expert researchers in physics for a remote freelance contract (35 hrs/week). The project targets AI evaluation, data analysis, and validation of scientific content. Ideal candidates have strong research backgrounds, publications, and SME credentials across physics disciplines.

The role emphasizes critical evaluation, rigorous methodology, and clear scientific communication to support AI systems in scientific domains.

Qualifications

• Master's or PhD in Physics or related discipline
• Strong academic or research background
• Publications in peer‑reviewed journals
• Experience reviewing and interpreting scientific literature
• Strong analytical and quantitative reasoning skills
• Experience with scientific data analysis, modelling, or computational research
• Subject Matter Expert in their field
• Ability to critically evaluate technical and scientific information
• Strong written and verbal communication skills

Responsibilities

• Evaluate AI-generated scientific responses
• Review and validate research content
• Assess scientific reasoning and methodology
• Analyse datasets and research outputs
• Review scientific literature
• Identify factual or logical errors in AI outputs
• Provide expert-level feedback to improve AI systems
• Solve advanced subject-matter problems

Skills

Data analysis

Research evaluation

Peer-reviewed publications

Subject Matter Expert

Scientific modelling

Quantitative reasoning

Academic publishing

Literature review

Education

PhD in Physics

Master’s in Physics

Job description

Project Type: AI Research & Data Evaluation
Experience Level: Expert / Researcher
Engagement: Freelance Contract / 35 Hrs / Week
Location: Remote
About the Project

We are looking for highly qualified academic and research professionals to support an AI research project involving scientific reasoning, data analysis, research validation, and evaluation of AI-generated outputs.

The ideal candidates will have strong academic credentials, research experience, and deep subject-matter expertise in their respective fields.

Who We Are Looking For

We are specifically looking for candidates with backgrounds such as:

• Physicists

• Applied Physicists

• Computational Physicists

• Quantum Researchers

• Astrophysics Researchers

• Experimental Physicists

• Materials Science Researchers

• Other closely related physics research disciplines

Candidate Qualifications

Candidates should ideally have:

• Master's or PhD in Physics or a closely related discipline

• Strong academic or research background

• Research publications in peer-reviewed journals

• Experience reviewing and interpreting scientific literature

• Strong analytical and quantitative reasoning skills

• Experience with scientific data analysis, modelling, or computational research

• Demonstrated Subject Matter Expertise (SME) in their field

• Ability to critically evaluate technical and scientific information

• Strong written and verbal communication skills

Preferred Candidate Profiles

We are particularly interested in:

1. PhD and Master's graduates from reputed universities and research institutions

2. Research scientists working in academia, R&D laboratories, or industry

3. Professionals with research publications, patents, conference papers, or peer-reviewed work

4. Researchers experienced in data analysis, mathematical modelling, simulations, or scientific reasoning

5. Subject-matter experts who regularly work with scientific literature and research papers

Example Suitable Profiles

Candidates such as the following would be a strong fit:

• Physics PhD with published research

• Computational Physics researcher

• Quantum Physics researcher

• Materials Science researcher

• Experimental Physicist

• Astrophysics researcher

• Scientific R&D professional

• Academic researcher with strong quantitative skills

What You May Work On

Depending on the project requirements, selected experts may be involved in:

• Evaluating AI-generated scientific responses

• Reviewing and validating research-based content

• Assessing scientific reasoning and methodology

• Analysing datasets and research outputs

• Reviewing scientific literature

• Identifying factual or logical errors in AI-generated answers

• Providing expert-level feedback to improve AI systems

• Solving or evaluating advanced subject-matter problems

Application Requirements

Please include the following in your resume:

• Highest academic qualification

• University / research institution

• Area of specialization

• Years of research experience

• Current role / affiliation

• Research publications or Google Scholar / ORCID profile, if available

• Key research areas or subjects of expertise

• Relevant experience with data analysis, modelling, simulations, or AI evaluation

Candidates with strong academic credentials and demonstrated research expertise are strongly encouraged to apply.