Team Lead – AI Data Annotation

TransPerfect

Team Lead managing data annotators for AI training data in Paris. Leading team performance, ensuring quality and coordinating with clients for a fast-evolving AI program.

Posted 7/18/2026full-timeParis • 🇫🇷 FranceSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in managing annotation teams, ensuring quality and productivity through structured processes and effective communication. Proficient in machine learning workflows, data annotation, and performance tracking, with a strong focus on detail and adherence to guidelines.

Highest-signal resume keywords

People ManagementMachine Learning BackgroundQuality AssuranceData AnnotationPython Coding

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnnotationMachine LearningQuality FrameworksAnnotation WorkflowsPerformance TrackingQuality ChecksScriptingComputer Vision AnnotationRobotics AnnotationRubric Evaluation

Soft Skills

Attention to DetailOrganizational SkillsCommunication SkillsTeam LeadershipCoaching

Tools & Technologies

Annotation ToolsSpreadsheetsDashboardsQuality Control Review Loops

Industry Keywords

AIComputational LinguisticsData HandlingQuality MetricsClient Services

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Lead, manage, and motivate an on-site team of annotators working on technical annotation, owning daily team coordination and overall performance
Run daily operations: task progress and completion tracking, shift coordination, and follow-through so that assigned work is finished and nothing falls through the gaps
Own annotation quality end-to-end: make sure the standard operating procedures and guidelines are followed, run calibration sessions and targeted refresher trainings, monitor acceptance and rejection rates against targets, and lead root-cause analysis and corrective actions on recurring errors
Act as the operational point of contact with the client's quality and engineering teams: align on guidelines and specifications, manage the rework loop, and escalate ambiguities or contradictions with clear, documented evidence
Design, implement and maintain daily quality and productivity tracking and reporting, and provide clear, honest status to the client and DataForce’s program management team
Interview, test, onboard, train, coach, and develop annotators, and manage individual performance and feedback
Keep the team aligned as tools, guidelines, and the rating scale evolve, translating changes into clear and consistent instructions across shifts
Ensure full adherence to confidentiality and data handling requirements
Coordinate internally with DataForce’s operations and account management team to continuously improve our client services and experience

Requirements

What you’ll need

Min. 6 months of proven people-management or team-lead experience
Machine learning and data annotation background: understanding complex annotation workflows, reasoning evaluation, rubric evaluation, agentic workflows labeling tools, quality frameworks and metrics, and the role of labeled data in the machine-learning lifecycle
Excellent attention to detail and a structured, quality-first approach
Strong organizational and communication skills, comfortable running daily operations and liaising with technical client stakeholders
Full professional proficiency in English, the working language of the project
French knowledge is a strong advantage
Eligibility to work full-time, on-site, in Paris
Master’s or Bachelor’s in AI, Machine Learning, Engineering, Computational Linguistics or other related field
Coding knowledge, for example Python, for scripting, data handling, quality checks, or light automation
Experience with computer-vision, video, or robotics annotation
Familiarity with QC review loops and reviewer calibration
Proficiency in French
Experience reporting quality and productivity metrics through spreadsheets or dashboards.

Benefits

Comp & perks

Flexible work arrangements
Professional development opportunities