Quality Lead | $14–$16/hr

Codefeast; India; On-site; INR 1,835,000 - 2,097,000; Part time

Job summary

Codefeast is seeking a Quality Lead for AI Training & Data Evaluation in India. Immediate joining for a short-term contractor role.

You will lead QA reviewers, ensure annotation quality, identify errors, and provide constructive feedback to maintain timely AI training data delivery. The position requires 3-5 years of experience with at least 1 year in a lead/mentor role, sharp attention to detail, and excellent communication.

Qualifications

• 3-5 years of overall professional experience.
• At least 1 year of experience leading or mentoring reviewers.
• Strong attention to detail and ability to follow complex guidelines.
• Excellent communication and feedback skills.
• Experience in QA, data annotation, data labeling, or AI training is preferred.

Responsibilities

• Lead reviewers and manage quality audit queues.
• Review annotated data and identify errors or inconsistencies.
• Provide clear feedback and guidance to reviewers.
• Track quality scores and reviewer performance.
• Train new reviewers and escalate recurring issues.

Skills

QA experience

Review leadership

Attention to detail

Communication skills

Data labeling familiarity

Job description

Role: Quality Lead - AI Training & Data Evaluation

Experience: 3-5 years, including 1+ year leading or mentoring reviewers

Job Type: Short-Term Contractor

Joining: Immediate

Compensation: $14-$16/hour

Role Overview

We’re looking for experienced Quality Leads to manage QA reviewers, maintain annotation quality, identify errors, and ensure consistent and timely delivery of AI training data.

What You’ll Do

• Lead reviewers and manage quality audit queues.
• Review annotated data and identify errors or inconsistencies.
• Provide clear feedback and guidance to reviewers.
• Track quality scores and reviewer performance.
• Train new reviewers and Escalate recurring issues.

Key Requirements

• 3-5 years of overall professional experience.
• At least 1 year of experience leading or mentoring reviewers.
• Strong attention to detail and ability to follow complex guidelines.
• Excellent communication and feedback skills.
• Experience in QA, data annotation, data labeling, or AI training is preferred.

Work Commitment

• Five working days per week, including weekends as required, with two weekdays off.

Selection Process

• Complete the Interest Check Form (ICF)
• Complete the Assessment.
• Attend the delivery interview.
• Profile review and onboarding for selected candidates.