Senior AI Trainer

Micro1; India; Remote; INR 5,174,000 - 10,348,000; Full time

Job summary

Cashback24x7 is seeking a Senior AI Trainer for a remote contractor role. You will collaborate on a customer-driven project to enhance AI system quality through expert-level model training and evaluation.

You will apply your hands-on experience with AI products to help train next-generation AI systems, shaping how models learn, reason, and perform with high-quality real-world input. This role emphasizes thorough evaluation, prompt engineering, and clear feedback.

Qualifications

• Excellent attention to detail in evaluating AI-generated content.
• Strong written and verbal communication for collaboration, reporting and timely updates.
• Demonstrated time management and self-organization for independent, remote work.
• Analytical and problem-solving mindset with a proactive approach to evaluation challenges.

Responsibilities

• Evaluate the performance of AI chat and search tools under standardized, repeatable conditions.
• Apply detailed grading guidelines to evaluate, rank, and annotate model responses, providing structured feedback.
• Write, refine, and stress-test prompts that probe model capabilities across diverse scenarios.
• Verify consistency and accuracy across evaluations, correcting discrepancies between ratings and rubrics.
• Utilize AI training tools and platforms to record findings and submit evaluation datasets per project standards.
• Collaborate with project trainers to resolve ambiguities, refine guidelines, and ensure evaluation consistency.
• Participate in ongoing quality reviews to maintain rigorous training and annotation standards.

Skills

Attention to detail

Clear communication

Time management

Analytical mindset

Self-motivation

Job description

Job Description

Role Title: Senior AI Trainer

Role Type: Contractor, Remote

Location: Northern America and Germany.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).