HiringWiring
AI Labs

Science And Engineering AI Trainer

Experience
2+ yrs
Location
United States, Canada, United Kingdom
Work mode
Remote
Job type
Contract
Duration
12 Weeks
Weekly
10+ hours
Salary
$40–$125 / hour
Posted
today

About the role

We are seeking practicing scientists, engineers, and data scientists to create and evaluate challenging technical tasks for frontier AI models. The role involves authoring realistic, domain-grounded scenarios, preparing professional files, comparing model outputs, writing grading rubrics, and identifying technical failures against professional standards. Candidates should have applied individual-contributor experience, strong written communication, statistical and experimental reasoning skills, and the ability to write and verify work in code for projects that require scientific computing.

Key Responsibilities

  • Design challenging, realistic STEM and Data Science tasks grounded in day-to-day professional workflows and drawn from your own technical practice.
  • Develop complete task scenarios, prompts, supporting files, expected failure points, and professional deliverables such as analyses, designs, test plans, protocols, or technical reports.
  • Assemble and manage realistic practitioner files, including test data, drawings, schematics, specifications, simulation outputs, laboratory records, and reports.
  • Run authored tasks through frontier AI models and evaluate the resulting calculations, analyses, designs, reviews, or reports against professional standards.
  • Compare model outputs generated from identical prompts and files, determine which performed better, and document the strengths and deficiencies of each response.
  • Write detailed grading rubrics that define correct assumptions, methods, magnitudes, units, failure modes, safety conditions, and other requirements for an acceptable deliverable.
  • Identify and document concrete model failures, including unit and scaling errors, misread data, unsupported conclusions, fabricated or ignored source files, missed safety or boundary conditions, and off-brief interpretations.
  • Apply statistical and experimental reasoning when evaluating experiment design, measurement error, uncertainty, analyses, and common statistical traps.
  • Participate in expert review and revision by responding to feedback, refining completed tasks, and improving the quality and realism of submitted work.
  • Review and refine tasks created by other experts and contribute domain judgment across adjacent scientific and engineering disciplines where appropriate.

Required Qualifications

  • Applied experience in mathematics, physics, chemistry, biology, an engineering discipline, or data science.
  • Hands-on individual-contributor experience performing technical work such as design, testing, analysis, research, or process work; candidates whose experience is solely managerial or teaching-focused are not the intended audience.
  • Comfort with statistical and experimental reasoning, including experiment design, measurement error, uncertainty, and common statistical traps.
  • Strong written communication and the ability to explain why a result is wrong, not only identify that it is wrong.
  • Ability to work independently in a fully remote, self-directed environment.
  • In-progress Bachelor's degree or higher.
  • Hands-on familiarity with real data and field-specific materials such as instrument and test data, measurement files, simulation outputs, schematics, drawings, and professional analysis tools.
  • Working understanding of adjacent sub-disciplines sufficient to assess work outside your primary specialty and identify what was done correctly or incorrectly.
  • Full professional or native-level written and spoken English.
  • General familiarity with AI and LLM tools and the ability to distinguish a well-reasoned answer from a plausible-sounding but incorrect one.
  • Baseline technology literacy, including cloud file tools, browser profiles, desktop application installation, and everyday file handling.
  • Availability for at least 10 hours per week; some projects prioritize 30–40 hours per week and full-time hours are available.

Benefits and Perks

  • Fully remote, project-based work with flexible scheduling.
  • Pay of $40-$125 per hour USD, paid via PayPal on a regular cadence.
  • Minimum commitment of 10 hours per week, with no weekly maximum and full-time hours available.
  • Multi-day task timers that allow work to be distributed across multiple days.
  • Access to Claude and ChatGPT through the project; no personal subscription is required.
  • Opportunities to work on challenging STEM, engineering, data science, and AI evaluation projects.
  • Expert review, written feedback, onboarding, and a short training project for accepted contributors.
  • Compensation for each completed step, subject to submission acceptance.

Skills

  • Mathematics
  • Physics
  • Chemistry
  • Biology
  • Engineering
  • Data science
  • Coding
  • Scientific computing
  • Statistical reasoning
  • Experimental reasoning
  • Experiment design
  • Measurement error and uncertainty
  • Data analysis
  • Design verification
  • Test planning
  • Failure investigation
  • Design trade studies
  • Experimental protocols
  • Circuit design
  • System design
  • Technical reports
  • Grading rubrics
  • AI model evaluation

Education

Required

  • In-progress Bachelor's degree or higher

Preferred

  • Advanced degree

Certifications

Preferred

  • PE license
  • Chartered status

Selection process

  1. Step 1

    Submitted

    Someone who fits the role and has told you they are interested, with their resume.

  2. Step 2

    HiringWiring Assessment

    They take a short screening assessment.

  3. Step 3

    Client Assessemnts

  4. Step 4

    Selected

    If they qualify and are selected, your payout is due.