Quality Lead - AV Domain

iMerit Inc.; United States; À distance; USD 90 000 - 130 000; Plein temps

Résumé du poste

iMerit Inc. is seeking a Quality Lead to own quality outcomes across an annotation pipeline. The role interfaces with Trainers and Team Leads to convert training standards into daily quality enforcement, using audits, calibration, and root-cause analysis to drive improvements.

The position emphasizes coaching, guideline refinement, and client-facing reporting. Strong communication, data analysis skills, and experience with Excel/Sheets are essential.

Qualifications

• 1+ years as a Team Lead, senior annotator, or QA reviewer within an annotation/DataOps pipeline.
• Strong grasp of the pipeline's guidelines and edge cases; able to make and defend judgment calls on ambiguous data.
• Comfortable working in spreadsheets/dashboards to analyze error trends (Excel/Sheets required; SQL or BI tool experience a plus).
• Clear written and verbal communication for coaching feedback and calibration sessions.
• Experience giving feedback to peers or Team Members without formal management authority.

Responsabilités

• Own the quality audit cadence for the pipeline: sampling plans, QA reviews, and accuracy/precision scoring against client rubrics.
• Run root-cause analysis on quality misses and defects, distinguishing training gaps, tooling issues, guideline ambiguity, and individual performance issues.
• Partner with the Trainer to translate recurring error patterns into updated training materials, calibration sessions, and onboarding content, and join the Trainer in bringing findings to the client for discussion.
• Track training rollout and resulting adjustments against the quality goal, and tighten the feedback loop between findings, training, and measured progress.
• Partner with Team Leads to deliver targeted coaching to Team Members, using QA data to prioritize who and what gets coached.
• Maintain and evolve quality guidelines/rubrics in response to client feedback, guideline changes, or edge cases surfaced from the floor.
• Run calibration sessions across Team Leads and reviewers to keep scoring consistent pipeline-wide.
• Report quality metrics and trends to DataOps leadership and the Project Manager, flagging systemic risk before it affects client-facing quality SLAs.
• Represent quality in client-facing reporting and audits alongside the Project Manager when needed.

Connaissances

Team leadership

Quality assurance

Data analysis

Communication

Feedback & coaching

Outils

Excel/Sheets

SQL

BI tools

Description du poste

The Quality Lead owns the quality outcomes for an annotation pipeline or account segment. This role sits between the Trainer and the Team Leads: it turns training standards into day-to-day quality enforcement, and turns floor-level error patterns into feedback that improves training and calibration. The Quality Lead does not manage headcount directly — it drives the quality pillar of the pipeline through audits, calibration, root-cause analysis, and coaching support delivered in partnership with Team Leads.

KEY RESPONSIBILITIES

• Own the quality audit cadence for the pipeline: sampling plans, QA reviews, and accuracy/precision scoring against client rubrics.
• Run root-cause analysis on quality misses and defects, distinguishing training gaps, tooling issues, guideline ambiguity, and individual performance issues.
• Partner with the Trainer to translate recurring error patterns into updated training materials, calibration sessions, and onboarding content, and join the Trainer in bringing findings to the client for discussion.
• Track training rollout and resulting adjustments against the quality goal, and tighten the feedback loop between findings, training, and measured progress.
• Partner with Team Leads to deliver targeted coaching to Team Members, using QA data to prioritize who and what gets coached.
• Maintain and evolve quality guidelines/rubrics in response to client feedback, guideline changes, or edge cases surfaced from the floor.
• Run calibration sessions across Team Leads and reviewers to keep scoring consistent pipeline-wide.
• Report quality metrics and trends to DataOps leadership and the Project Manager, flagging systemic risk before it affects client-facing quality SLAs.
• Represent quality in client-facing reporting and audits alongside the Project Manager when needed.

HOW THIS ROLE WORKS WITH OTHERS

• Trainer — upstream partner, driven by Quality Lead findings. The Quality Lead's audit data and error trends are the input; the Trainer crafts the training resources (updated materials, calibration sessions, refreshers) and drives getting that content into the team. The Quality Lead and Trainer jointly bring findings to the client for discussion. After rollout, the Quality Lead tracks the training and any adjustments against the quality goal to confirm progress is actually happening, and keeps that feedback loop tight rather than waiting for the next audit cycle.
• Team Lead — closest working partner. Team Lead owns day-to-day people management, attendance, and productivity of Team Members; Quality Lead supplies the quality data and coaching priorities the Team Lead acts on. Neither manages the other.
• Group Lead — primary peer partner, not a manager. The Quality Lead and Group Lead work alongside each other on pod quality: the Quality Lead brings audit data, defect trends, and coaching priorities; the Group Lead sets pod-level priorities, allocates Team Lead attention, and clears roadblocks. Quality decisions that affect staffing, targets, or client commitments are made together, but the Quality Lead reports into DataOps, not to the Group Lead.
• Project Manager — account owner. Consumes quality trends and risk flags for client reporting and account strategy; the Quality Lead escalates systemic or client-visible quality risk directly when urgent.

REQUIREMENTS

• 1+ years as a Team Lead, senior annotator, or QA reviewer within an annotation/DataOps pipeline.
• Strong grasp of the pipeline's guidelines and edge cases; able to make and defend judgment calls on ambiguous data.
• Comfortable working in spreadsheets/dashboards to analyze error trends (Excel/Sheets required; SQL or BI tool experience a plus).
• Clear written and verbal communication for coaching feedback and calibration sessions.
• Experience giving feedback to peers or Team Members without formal management authority.

SUCCESS METRICS

• Pipeline accuracy/quality score vs. client SLA.
• Defect recurrence rate (same root cause reappearing after a fix cycle).
• Calibration consistency across Team Leads/reviewers (inter-rater agreement).
• Time from defect detection to guideline/training correction.