Data Annotator

Job Description: Data Annotation

Team Lead Position: Data Annotation Team Lead

Department: Data Operations / AI & ML

Location: [On-site]

Employment Type: Full-time

Overview

We are seeking a highly organized and detail-oriented Data Annotation Team Lead to oversee the daily operations of our data labeling team. This role involves managing a group of annotators, ensuring high-quality labeled datasets, optimizing annotation workflows, and collaborating closely with Machine Learning, Product, and QA teams to support model development.

Key ResponsibilitiesTeam Management:

Lead, mentor, and supervise a team of data annotators, including onboarding and training.

Manage task allocation, schedules, and performance evaluations.

Maintain a positive team culture focused on accuracy, accountability, and continuous improvement.

Quality Assurance & Process Improvement

Establish and enforce quality standards for annotations.

Conduct regular audits of annotated data and provide constructive feedback to annotators.

Identify workflow inefficiencies and implement process improvements for increased productivity and data accuracy.

Develop and maintain annotation guidelines, SOPs, and documentation.

Project Coordination

Collaborate with ML engineers and data scientists to understand annotation requirements and edge cases.

Break down complex annotation projects into clear tasks and timelines.

Track project progress and ensure deadlines, quality metrics, and deliverables are met.

Communicate project updates, risks, and blockers to stakeholders.

Tools & Technology

Use and administer labeling platforms (e.g., Labelbox, Scale AI, SuperAnnotate, CVAT, Amazon SageMaker Ground Truth).

Assist in tool configuration, taxonomy setup, and workflow customization.

Troubleshoot technical issues and coordinate with engineering when needed.

Data Compliance & Security

Ensure all annotation activities follow data privacy, confidentiality, and security policies.

Maintain secure handling of sensitive or proprietary data sets.

QualificationsRequired

Bachelor’s degree in Computer Science, Data Science, Linguistics, Psychology, or related field—or equivalent experience.

2–4+ years of experience in data annotation, data operations, or similar roles.

1–2+ years of experience managing or mentoring teams.

Strong understanding of annotation types (e.g., image, text, audio, video) and common labeling frameworks.

Excellent communication, leadership, and problem-solving skills.

High attention to detail and ability to maintain accuracy under tight deadlines.

Preferred

Experience working with ML/AI model development teams.

Familiarity with quality control methods (e.g., inter-annotator agreement, sampling).

Knowledge of scripting or automation tools (Python, SQL) is a plus.

Experience with agile methodologies and project management tools (Jira, Trello, Asana).

Success Metrics

High annotation accuracy and consistency.

Timely delivery of annotation projects.

Efficient team performance and low error rates.

Adoption of improved workflows and tools.

Strong cross-functional collaboration.

Job Types: Full-time, Permanent

Benefits:

Cell phone reimbursement

Work Location: In person

Job Type: Contract

Work Location: In person