Senior AI Trainer

Confidential; United States; Remote; USD 110,000 - 165,000; Full time

Job summary

Zekai is seeking a Senior AI Trainer for a 100% remote contract role. You will collaborate on customer-driven projects to enhance AI system quality through expert-level model training and evaluation.

Responsibilities include evaluating AI responses, developing prompts, and ensuring consistency with rubrics while working with project trainers remotely. The ideal candidate demonstrates exceptional attention to detail, strong communication, and experience with AI product training.

Qualifications

• High attention to detail when evaluating AI outputs.
• Strong written and verbal communication for feedback and reporting.
• Proven time management for independent, remote work.
• Analytical mindset with problem-solving in evaluation tasks.
• Familiarity with RLHF data labeling and model evaluation.

Responsibilities

• Evaluate AI chat and search tool performance under standardized conditions.
• Apply grading rubrics to rank and annotate model responses.
• Write and stress-test prompts for diverse scenarios and intents.
• Verify consistency between ratings and rubrics, fix discrepancies.
• Record findings using training tools and submit evaluation data.

Skills

Attention to detail

Written communication

Verbal communication

Time management

Analytical thinking

Prompt engineering

RLHF data labeling

Remote collaboration

Tools

AI tooling

Job description

Role Title: Senior AI Trainer

Role Type: Contractor, Remote

Location: Northern America and Germany.

our partner 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).

This is a 100% remote contract role. Applicants must be located in: United States, Canada, Germany.