AI training contract
AI Engineer
Software Engineering · Advertised USD 60-120 an hour. · 300 openings
AI Engineer is contract work for micro1, reviewing and correcting what AI models produce in software engineering. The output of the job is expert judgement written down: a model gives an answer, someone who knows the subject decides whether it is right and explains why.
What it requires. No credential is stated on this listing beyond experience in the field.
What it pays. micro1 advertises USD 60 to USD 120 an hour. It also states that pay is output based, paid per task that meets the project specifications, so the hourly figure is an advertised equivalent and not a guaranteed wage.
Where. The listing says this role is remote and names no country. micro1 says it hires talent from around the world, except people who reside in Afghanistan, Belarus, China, Cuba, Democratic Republic of the Congo, Hong Kong, Iran, Iraq, Libya, Macao, Myanmar, North Korea, Russian Federation, Somalia, South Sudan, Sudan, Syria, Venezuela, Ukraine, and Yemen. So this page lists every other country as eligible, on the strength of that rule and not of anything this listing says. Requirements can still differ by role, so check the application page on micro1 before you apply.
micro1 lists 300 openings on this role.
Skills named: Python3, JAVA, Rust, Algorithms, Basics C++, Typescript, bug fixing, feature implementation, codebase refactoring, performance optimization.
Applications are made on micro1, not here. WFA Digital is independent of micro1 and may receive a referral fee if you are hired, at no cost to you.
Full listing, as published by micro1
Job Title: AI Engineer Job Type: Contractor (~15 hrs a week) Location: Remote Schedule: Flexible, you pick the hours and days (including weekends if desired) Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. As an expert you will be creating Reinforcement Learning Environments which test an AI model’s ability to solve complex software engineering problems using Model Context Protocol (MCP) tools. Tasks may involve fixing bugs, implementing features, refactoring code, or optimizing performance while requiring agents to discover and reason over information from real MCP servers. You will design reproducible environments, deterministic verification, and golden reference solutions that accurately measure both MCP tool use and software engineering ability. Required Skills and Qualifications: Proficiency in C++, Python, JAVA, GoLang, Typescript, or Rust. Deep understanding of algorithms, data structures, and performance tuning. Demonstrated experience in debugging complex software issues and delivering maintainable solutions. Strong background in feature development and codebase refactoring. Proven ability to optimize software for performance and scalability. Exceptional written and verbal communication skills, with a keen attention to detail. Track record of success in collaborative, cross-functional teams, ideally in remote settings. Preferred Qualifications: Previous experience working on large-scale, distributed codebases. Familiarity with modern AI or machine learning systems is a plus, though not required. Background in participating in rigorous code reviews and contributing to the development of software best practices. Process: Apply to the role, filling out the screening questions Complete AI Interview (approx. 30 minutes) Technical Assessment (Tentative) Hiring Manager review Compensation Structure Compensation is output-based; experts are paid per task that meets the project specifications. The time required to complete work may vary depending on the expert’s experience and workflow. Minimum submission requirements apply. Experts must submit a minimum of tasks per week. Start Timeline & Availability We typically fill roles within 48 hours and are looking for experts ready to jump in right away. If selected, we expect you to start your first tasks within 24–48 hours of completing onboarding.
All AI training roles we track · Every micro1 opportunity with filters
Rate, openings and requirements checked 2026-09-25 against micro1's own public postings.