Senior AI Trainer
micro1 · Remote - Albania, Austria, Belarus, Belgium, Bulgaria, Canada, Croatia, Cyprus, Czechia, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Iceland, Ireland, Italy, Kosovo, Latvia, Lithuania, Luxembourg, Malta, Moldova, Montenegro, Netherlands, North Macedonia, Norway, Poland, Portugal, Romania, Russia, Serbia, Slovakia, Slovenia, Spain, Sweden, Switzerland, Türkiye, Ukraine, United Kingdom, United States · contract · 2026-09-24
Job description
Role Title: Senior AI Trainer
Role Type: Contractor, Remote
Location: Northern America and Europe.
micro1 is engaging Senior AI Trainers to collaborate on a customer-driven project enhancing AI system quality through expert-level model training and evaluation. In this role, you'll apply your generalist expertise and hands-on experience with AI products to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input.
Key Responsibilities:
- Evaluate the performance of AI chat and search tools under standardized, repeatable conditions.
- Apply detailed grading guidelines to accurately evaluate, rank, and annotate model responses, providing structured feedback that improves model performance.
- Write, refine, and stress-test prompts that probe model capabilities, ensuring coverage of diverse scenarios, edge cases, and user intents.
- Verify consistency and accuracy across evaluations, correcting discrepancies between ratings and the underlying rubric or guidelines.
- Utilize AI training tools and platforms to record findings and submit evaluation datasets in alignment with project standards and milestones.
- Collaborate with project trainers and contributors to resolve ambiguities, refine guidelines, and ensure evaluation consistency across the team.
- Participate in ongoing quality reviews, incorporating feedback to maintain rigorous training and annotation standards.
Required Skills and Qualifications:
- Exceptional attention to detail and accuracy in reviewing and evaluating AI-generated content.
- Strong written and verbal communication skills for effective collaboration, reporting, and timely updates on progress and challenges.
- Demonstrated time management and self-organization abilities for independent, remote project participation.
- Analytical and problem-solving mindset, with a proactive approach to resolving evaluation challenges.
Preferred Qualifications:
- Proven experience with AI model training, RLHF, data labeling, or similar data-centric evaluation projects.
- Familiarity with AI products and tools, including prompt engineering and understanding of model behaviors and limitations.
- Experience writing evaluation rubrics, grading model outputs, or reviewing AI responses for accuracy, helpfulness, and safety.
- Background in AI training, machine learning data preparation, or LLM-focused projects (strongly preferred).
Originally posted on Himalayas