Cinder

AI Data Operations Lead

Cinder

full-time

Posted on:

Location Type: Hybrid

Location: New York City • New York • United States

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Salary

💰 $140,000 - $180,000 per year

Job Level

Senior

About the role

  • Own the operational health, delivery, and outcomes for all Managed Services customers.
  • Lead quality programs across customers, including QA design, precision/recall analysis, accuracy tracking, and continuous improvement.
  • Identify root causes of quality regressions, missed SLAs, or labeling confusion — and drive fixes across tooling, training, or process.
  • Own escalation and risk tradeoffs when quality, safety, or customer timelines are at risk, exercising sound judgment in high-pressure situations.
  • Manage day-to-day relationships with BPO and data labeling partners.
  • Partner with vendors on staffing models, headcount planning, efficiency improvements, and performance management across time zones.
  • Review training materials, calibration processes, and reviewer feedback loops to ensure consistent, high-quality output at scale.
  • Write, test, and iterate labeling and review instructions in partnership with Product and customers.
  • Lead calibration processes with BPO partners to ensure consistent interpretation of guidelines and edge cases.
  • Work closely with Product and Engineering on AI deployments that support Managed Services customers.
  • Help design and refine workflows where AI augments — rather than replaces — expert human judgment.
  • Use operational data to inform model iteration, tooling improvements, and future product decisions.
  • Monitor pipeline health across human and AI-assisted workflows, identifying bottlenecks and making informed tradeoffs between quality, speed, and cost.
  • Act as a primary operational point of contact for Managed Services customers.
  • Navigate customer pressure around deadlines, errors, quality issues, and evolving requirements with calm judgment and clear communication.
  • Own prioritization and decision-making when information is incomplete and trade-offs are real.
  • Partner with GTM teams to bring Managed Services offerings to market.
  • Support upsells, renewals, and new customer conversations by translating operational credibility into clear value.

Requirements

  • Have at least 4+ years of experience in operations roles within Trust & Safety, AI safety, content moderation, or data labeling.
  • Have directly managed BPO or vendor-based review/labeling teams at scale.
  • Are highly organized and comfortable owning complex, multi-threaded operational work.
  • Have experience performing root cause analysis on operational or quality issues.
  • Are comfortable getting into the weeds — tooling, data, training docs, edge cases — to understand what’s actually happening.
  • Can operate independently and take initiative in ambiguous environments.
  • Are comfortable using data (basic data science, metrics, dashboards) to monitor performance and partner with QA or customer teams.
  • Are excited about AI-augmented operations and believe human judgment + AI systems outperform purely manual approaches.
Benefits
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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
root cause analysisquality assurancedata analysisperformance managementworkflow designAI deploymentmetrics monitoringcalibration processesdata labelingcontent moderation
Soft Skills
organizational skillscommunicationjudgmentinitiativeproblem-solvingrelationship managementcalm under pressuredecision-makingadaptabilitycollaboration