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Lead Generative AI Analyst - English (India)

Welo Global

Key Facts

Remote From: 
India
Full time
Senior (5-10 years)
English

Other Skills

  • •
    Program Management
  • •
    People Management
  • •
    Quality Assurance
  • •
    Problem Solving
  • •
    Communication
  • •
    Problem Reporting
  • •
    Team Leadership
  • •
    Coaching
  • •
    Time Management

Roles & Responsibilities

  • Experience in a client-facing delivery role
  • Strong written and verbal English proficiency
  • Prior people management experience with annotation, data operations, or similar teams
  • Ability to meet during US business hours

Requirements:

  • Directly manage a team of multimodal annotators and reviewers
  • Own the client relationship day-to-day
  • Manage scope, timelines, and dependencies across active workstreams
  • Design and run quality workflows

Job description

OVERVIEW

This is a rare opportunity to lead delivery on a program with one of the world's most recognized technology companies, doing work that directly shapes the future of AI. You'll own the day-to-day execution of multimedia AI labeling programs — managing a team, holding the client relationship, and driving quality and delivery end-to-end. The work is fast-moving and technically interesting. We're looking for someone who thrives on ownership.

This is a hands-on execution role: you'll solve problems directly, communicate proactively, and close action items yourself rather than routing them through others. If you're energized by being the person who makes things happen this is your role. This is a US based client who values direct communication, early escalation of risks, and a bias toward action. The best candidates for this role will already do that naturally.

Project Details:

  • Duration: Ongoing
  • Commitment: Full-time
  • Location: Remote (India)
  • Language: English (India)
  • Rate: $7/hour
 

Main duties

People Management

  • Directly manage a team of multimodal annotators and reviewers: set expectations, coach performance, conduct 1:1s, and make staffing decisions.
  • Lead onboarding and structured ramp plans for new hires; own assessments and ongoing development.
  • Hold the team accountable to throughput, error rates, and rework targets — and take corrective action when targets are missed. 

    • Client & Stakeholder Ownership

  • Own the client relationship day-to-day: prepare agendas, run calls, and send notes with clearly assigned action items after every engagement.
  • Communicate proactively — surface risks, blockers, and issues before clients ask, with context and a proposed path forward.
  • Follow action items to closure.

    • Program Execution

  • Manage scope, timelines, and dependencies across active workstreams simultaneously.
  • Maintain a live risk register and drive mitigations with clear ownership and deadlines.
  • Conduct RCCAs for quality failures and delivery misses; implement fixes systemically.
  • Track budget utilization and cost-per-unit metrics; flag spend variances to leadership.
    •  
    Quality & Data Workflows
  • Design and run quality workflows: sampling plans, second-pass review, audits, and inter-annotator agreement checks.
  • Own calibration and consistency across the team; identify variance patterns and run structured refreshers.
  • Review and maintain annotation guidelines; document edge cases and push updates as workflows evolve.
  • Identify friction in annotation tooling and UI; contribute to design requirements and work directly with tooling teams to improve workflows.

    • Reporting

  • Deliver clear, honest reporting on delivery status, quality metrics, risks, and team health to clients and internal leadership.



    • What We're Looking For
  • Experience in a client-facing delivery role
  • A track record of spotting and solving problems without being asked
  • Strong written and verbal English proficiency
  • Comfortable delivering direct, honest updates even when the news is hard
  • Prior people management experience with annotation, data operations, or similar teams
  • Additional language proficiency preferred
  • Ability to meet during US business hours
    •
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