AI training contract
Product Manager/Product Owner
Business Operations · USD 90-140 an hour. · 10 openings
Product Manager/Product Owner is contract work for micro1, reviewing and correcting what AI models produce in business operations. 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. USD 90 to USD 140 an hour, as published by micro1. Rates in this category track how rare the credential is rather than how hard the work is.
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 10 openings on this role.
Skills named: Product Management, Product Ownership, Specification Writing, Content Evaluation, Written Communication, Attention to Detail, Critical Analysis, Stakeholder Communication, Independent Work, Virtual Collaboration.
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
Role Title: Product Manager / Product Owner Role Type: Contractor Location: Remote micro1 is engaging Product Managers and Product Owners as expert contributors to an advanced customer project focused on AI system development. 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. This is strictly an evaluation and analysis opportunity. It does not involve roadmap ownership, delivery management, sprint facilitation, stakeholder leadership, or programme governance. Contributors with backgrounds in project management, programme management, delivery, or scrum leadership should not apply — this engagement requires deep product management and product ownership skills in content and specification evaluation. Scope of Work Assess and compare AI-generated responses to a variety of writing prompts, including specifications, release notes, user-facing copy, and stakeholder updates. Score each response based on clarity, tone, adherence to instructions, and usefulness for the intended audience. Write detailed rationales explaining the reasoning behind each score, focusing on whether the content meets prompt requirements and audience needs. Identify and document cases where fluent writing fails to answer the question, or complete responses are unsuitable for users. Spot factual inaccuracies, inconsistencies, and instances where content exceeds or misses prompt constraints. Collaborate virtually and asynchronously with project managers and reviewers to ensure consistency and quality in assessments. Preferred Qualifications Professional experience as a Product Manager or certified Product Owner, with a strong record in cross-functional product development. Native-level English fluency and exceptional written communication skills. Extensive experience authoring and evaluating specifications, PRDs, acceptance criteria, release notes, or decision documents. Demonstrated ability to judge whether content is appropriately tailored for executives, technical stakeholders, or end users. Proven skill in providing actionable, written feedback on technical or user-facing documentation. Attention to detail, critical analysis skills, and the ability to work independently while meeting remote project deadlines. Familiarity with model evaluation, RLHF, or annotation is a plus, but not required.
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Rate, openings and requirements checked 2026-09-25 against micro1's own public postings.