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AI Agentic Workflow Reviewer

Innodata · San Jose, California

Weak hiring record · median 118 days open

9696

Hiring signal

Actively hiring

Still listed on the employer's own board · publishes a salary range · How we score

All reasons
  • 64% of this employer's openings are over 60 days old

In its favour

  • Still listed on the employer's own board
  • Publishes a salary range

Did you apply?

AI Agentic Workflow Reviewer at Innodata. We’ll keep it in your applied jobs, so you can see it later and be warned before applying to the same employer twice.

Innodata (Nasdaq

INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.

Scope of the Role

We're building a dedicated reviewer team to evaluate complex, real-world agentic AI workflows, assessing whether AI agents complete tasks safely, respect user intent and consent, and hold up under close scrutiny.

This isn't routine content moderation

reviewers work through ambiguous, multi-step scenarios where judgment calls matter as much as checklists. You'll operate inside isolated test environments, apply structured rubrics, and help calibrate what "safe and policy adherent agent behavior" actually looks like.

What You’ll Own

  • Review multi-step agent task trajectories against rubric-based criteria covering task success, safety, and policy adherence
  • Evaluate whether an agent respected user agency and informed consent — not just whether it followed literal instructions
  • Apply privacy guardrails when reviewing tasks involving sensitive or personal data
  • Work inside isolated test environments, including verifying environment resets between test runs to prevent cross-contamination
  • Flag and escalate safety-relevant or ambiguous findings through defined escalation paths

You’ll Thrive in This Role If You Have

  • Bachelor's degree or equivalent practical experience
  • 2–5+ years in quality review, QA/QC, trust & safety, content moderation, data annotation, or a similarly judgment-intensive review role
  • Strong written communication – you can justify a scoring decision clearly enough for someone else to audit it
  • Comfort with ambiguity and structured decision-making under a rubric, rather than needing a fixed rulebook for every case
  • Baseline understanding of AI/ML concepts and how AI agents complete tasks (can be learned through onboarding, but some familiarity helps)

The expected hourly salary range for this position is $50-$55p/hour, based on experience, skills, and qualifications.

Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at https://consumer.ftc.gov/articles/job-scams.

If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at verifyjoboffer@innodata.com and consider reporting it to the FTC at ReportFraud.ftc.gov.

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