Electrical Engineer AI Trainer (Remote)

Aston Carter • Washington, DC

2d • $45,000 - $60,000 • Remote

About The Position

The role involves evaluating how frontier AI models handle realistic professional work using files and scenarios assembled by the worker. Tasks may be compact or may involve larger scenarios built over several days. The objective is to create work that a competent professional would complete correctly but that a frontier AI model currently gets wrong, then assess the model’s work and explain errors clearly.

The posting describes clinical examples and requires clinical expertise, including an active or recent clinical license. It also calls for hands-on practitioner experience, strong written communication, comfort with ambiguity, attention to detail, and the ability to learn unfamiliar work from written instructions. General familiarity with AI and large language model tools and baseline technology skills are expected.

This is a fully remote independent contractor position, with flexible scheduling and a minimum availability of 10 hours per week; no weekly maximum is stated, and full-time hours are available. Work is paid via PayPal. Access to Claude and ChatGPT is provided through the project. The posting states that no benefits are offered. It also describes the position as permanent and based out of Washington, D.C.

Requirements

• Active or recent clinical license: RN, NP, PA, MD or DO, PharmD, or an allied health license involving independent clinical judgment.
• Hands-on practitioner experience at an individual-contributor level, currently or recently; experience solely in a managerial capacity does not meet this requirement.
• Full professional or native-level written and spoken English, with strong written communication and the ability to explain complex professional reasoning clearly and concisely.
• Comfort with ambiguity and strong attention to detail, including verifying document claims against underlying numbers, sources, or facts.
• Ability to interpret feedback, judge its correctness, and apply it independently; willingness to research answers when needed.
• Ability to ramp up quickly on unfamiliar work using written materials and instructions, including incomplete materials.
• General familiarity with AI and LLM tools such as Claude or ChatGPT, and the judgment to distinguish well-reasoned answers from plausible but incorrect ones.
• Baseline technology literacy, including cloud file tools such as Google Workspace, browser profiles, installing desktop applications, and everyday file handling such as converting spreadsheets and zipping files.
• Available at least 10 hours per week; no weekly maximum is specified.
• Based in the United States, Canada, or the United Kingdom.

Nice To Haves

• Two or more years of hands-on experience in the candidate’s field is preferred; candidates with less experience may be considered where the practical work is real.

Responsibilities

• Assemble realistic professional files and scenarios based on hands-on experience and day-to-day workflows.
• Create tasks that test whether an AI system can perform professional work correctly.
• Evaluate AI-generated work and identify errors, explaining why a result is wrong.
• Interpret feedback, assess its correctness, and apply it independently.
• Learn unfamiliar work and instructions quickly, including developing grading rubrics.

What This Job Offers

• Career Level: Mid Level
• Education Level: No Education Listed