Senior AI Trainer

RemoteJobsOne

Paris

À distance

EUR 17 000 - 44 000

Plein temps

Il y a 7 jours
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Résumé du poste

RemoteJobsOne is seeking a Senior AI Trainer for a fully remote contractor role, open to candidates in France and Europe. You will evaluate AI chat and search tool performance, craft prompts, and annotate outcomes to improve model quality across real-world tasks.

You will collaborate with project teams, maintain rigorous evaluation standards, and contribute to ongoing quality reviews while working independently from a home office.

Qualifications

  • Exceptional attention to detail in reviewing AI-generated content.
  • Strong written and verbal communication for collaboration and updates.
  • Demonstrated time management and self-organization for remote work.
  • Analytical and problem-solving mindset for evaluation challenges.

Responsabilités

  • Evaluate AI chat and search tool performance under standardized conditions.
  • Apply grading guidelines to evaluate, rank, and annotate model responses with feedback.
  • Write, refine, and stress-test prompts to cover diverse scenarios and intents.
  • Verify consistency between ratings and rubrics, correcting discrepancies.

Connaissances

Attention to detail
Strong communication
Time management
Analytical thinking

Outils

AI training tools

Description du poste

IMPORTANT: after you apply, please check your email. We send you a link to complete your application — it is not considered until that last step is done. If you do not see it, check your spam folder.

This is a fully remote position, open to candidates based in France.

Pay: $14–$36/hr

Role Title: Senior AI Trainer

Role Type: Contractor, Remote

Location: Northern America and Europe.

We are 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:

  1. Evaluate the performance of AI chat and search tools under standardized, repeatable conditions.
  2. Apply detailed grading guidelines to accurately evaluate, rank, and annotate model responses, providing structured feedback that improves model performance.
  3. Write, refine, and stress-test prompts that probe model capabilities, ensuring coverage of diverse scenarios, edge cases, and user intents.
  4. Verify consistency and accuracy across evaluations, correcting discrepancies between ratings and the underlying rubric or guidelines.
  5. Utilize AI training tools and platforms to record findings and submit evaluation datasets in alignment with project standards and milestones.
  6. Collaborate with project trainers and contributors to resolve ambiguities, refine guidelines, and ensure evaluation consistency across the team.
  7. Participate in ongoing quality reviews, incorporating feedback to maintain rigorous training and annotation standards.

Required Skills and Qualifications:

  1. Exceptional attention to detail and accuracy in reviewing and evaluating AI-generated content.
  2. Strong written and verbal communication skills for effective collaboration, reporting, and timely updates on progress and challenges.
  3. Demonstrated time management and self-organization abilities for independent, remote project participation.
  4. Analytical and problem-solving mindset, with a proactive approach to resolving evaluation challenges.

Preferred Qualifications:

  1. Proven experience with AI model training, RLHF, data labeling, or similar data-centric evaluation projects.
  2. Familiarity with AI products and tools, including prompt engineering and understanding of model behaviors and limitations.
  3. Experience writing evaluation rubrics, grading model outputs, or reviewing AI responses for accuracy, helpfulness, and safety.
  4. Background in AI training, machine learning data preparation, or LLM-focused projects (strongly preferred).
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