AI Labs
AI Training Expert – Science & Engineering (contract, Remote)
- Experience
- 2+ yrs
- Location
- United States, Canada, United Kingdom, Australia, Ireland Candidates May Also Be Accepted
- Work mode
- Remote
- Job type
- Contract
- Duration
- 12 Weeks
- Weekly
- 10+ hours
- Salary
- $40–$125 / hour
- Posted
- today
About the role
We are seeking experienced science and engineering professionals for fully remote, project-based contract work training and improving AI systems. Contributors evaluate AI-generated responses, create realistic technical problems, write expert explanations, and grade model outputs against detailed rubrics. The role requires approximately 2+ years of applied science or engineering experience, an in-progress Bachelor's degree or higher, hands-on experience with real-world technical data, strong written communication, and independent working ability.
Key Responsibilities
- Review and evaluate AI-generated responses to science and engineering prompts, including analyses, calculations, experimental designs, and technical explanations.
- Design realistic and challenging technical problems based on professional experience in science or engineering.
- Write clear, expert-level solutions and explanations that can serve as model training examples.
- Grade model outputs against detailed rubrics and identify errors, flawed reasoning, ambiguity, or unsupported conclusions.
- Provide corrective guidance that improves the accuracy, rigor, and reliability of AI-generated responses.
- Run tasks against AI models and iterate based on expert reviewer feedback.
- Apply scientific reasoning, statistical reasoning, experimental reasoning, and data judgment to realistic technical scenarios.
- Analyze real-world measurement, test, and process data, including instrument data, test and measurement files, CAD models, simulation outputs, and lab records.
- Follow detailed written instructions precisely, including document and upload format requirements.
- Maintain consistent quality and throughput throughout project-based sprint engagements while working independently.
- Explain technical conclusions in complete, clear written English and participate constructively in feedback and revision cycles.
Required Qualifications
- Approximately 2+ years of applied science or engineering experience in industry or advanced research.
- Experience in a science or engineering discipline such as mechanical, electrical, civil, materials, energy, chemical, environmental, physics, or a similar field.
- An in-progress Bachelor's degree or higher. Undergraduate study does not count toward the experience minimum.
- Hands-on individual-contributor experience performing technical work such as design, test, process, or analysis rather than working solely in a managerial capacity.
- Hands-on practice with real-world technical data, including instrument data, test and measurement data, CAD models, simulation outputs, or lab records.
- Comfort with statistical and experimental reasoning, including experiment design, measurement error, and common statistical traps.
- Strong written communication skills and the ability to explain complex concepts clearly and concisely.
- Careful reading of written instructions and willingness to complete feedback and revision cycles.
- General familiarity with AI/LLM tools at the user level.
- Baseline tech literacy, including cloud file tools, browser profile management, desktop application installation, and everyday file handling.
- Ability to work independently in a remote, self-directed environment.
- Availability for project-based work; no minimum weekly commitment is required, although approximately 10 hours per week is recommended as a starting point.
- Assessment submissions must reflect the candidate's own expertise. AI or LLM assistance is not permitted and results in disqualification.
Benefits and Perks
- Fully remote, self-directed project-based work.
- Flexible participation with no minimum weekly commitment and approximately 10 hours per week recommended as a starting point.
- Pay of $40–$125+ per hour on a project basis.
- Payment through PayPal on a regular cadence.
- Opportunities to contribute to AI training across generalist and specialized science and engineering projects.
- Work that applies professional expertise to improve the accuracy and reliability of AI systems.
- No fees or payments are required from candidates.
Skills
- Scientific reasoning
- Data judgment
- Engineering analysis
- Applied problem-solving
- Real-world measurement
- Test data analysis
- Process data analysis
- Statistical reasoning
- Experimental reasoning
- Experiment design
- Measurement error
- Data analysis
- AI/LLM tools
- Evaluating AI-generated responses
- Annotating AI-generated responses
- Designing technical problems
- Writing expert-level solutions and explanations
- Grading model outputs against rubrics
- Technical writing
- Clear written communication
- Following detailed written instructions
- Instrument data
- Test and measurement data
Education
Required
- In-progress Bachelor's degree or higher
Preferred
- Advanced degree
Certifications
Preferred
- Professional licensure, including PE
Selection process
Step 1
Submitted
Someone who fits the role and has told you they are interested, with their resume.
Step 2
HiringWiring Assessment
They take a short screening assessment.
Step 3
Client Assessment
Step 4
Selected
If they qualify and are selected, your payout is due.