BLOOMBRIGHT IS HIRING FOR AN AMERICAN TECH COMPANY!
About the role
The Team Lead runs the Sports Video Data team day to day. The team labels the sports video and images that train BallerTV's computer vision models, including ball and player tracking, game event tagging, game start and end detection, skeleton (keypoint) annotation and auto-mask review, across basketball, volleyball, soccer, ice hockey, lacrosse and flag football.
The Team Lead turns each project into daily assignments, keeps output and accuracy on target, and is the first point of escalation for specialists and QA Analysts. They lead from the floor: they handle the hardest clips and edge cases themselves, coach the team, and report results to the Operations Manager.
Work schedules and project assignments may change based on business needs.
Scope & decision authority
- Leads a team of Sports Video Data Specialists and QA Analysts, including Tenured and Hybrid groups.
- Assigns projects, batches and review passes each day, and moves people between projects to protect deadlines.
- Sets daily and weekly targets within each project's time goal (for example, 8 minutes per game-end clip, or about 6 minutes per 1,800 tracking keyframes).
- Approves breaks, shift swaps and short-notice coverage changes; recommends leave approval to the Operations Manager.
- Decides guideline questions within existing rules; escalates guideline gaps and tool problems to the Operations Manager and HQ engineers.
- Recommends coaching, recognition and corrective action for specialists.
Key responsibilities: Project delivery
- Break each project into batches and assign them: ball and player tracking, event and timestamp tagging, kickoff and goal moments, game start, end and handshake marking, skeleton annotation, auto-mask review and scoreboard boxes.
- Track each project's progress against its total tasks every day (for example, done vs. 3,000 game-end clips) and flag any risk to the deadline early.
- Watch working time against each project's goal, find the people or clips that run slow, and fix the cause: guidelines, tools, training or clip quality.
- Do the hardest annotation and second-pass work yourself when the team is short or a deadline is close.
- Join and organize test events and tool pilots with HQ engineers, and make sure findings and bugs are documented.
Key responsibilities: Quality
- Run the review workflow (1st to 4th pass) and make sure every task is QA'd before it is marked Done/QA'd.
- Review error counts, error rate % and QA scores each week, by person and by project, and act on any drop.
- Run calibration sessions so specialists and QA Analysts label edge cases the same way.
- Keep project guidelines, examples and edge-case notes current, and brief the team when they change.
- Make sure QA report links and remarks are logged for every finished task.
Key responsibilities: Tracking, reporting & people
- Make sure every task is logged the same day in the Daily Project File: project, links, annotations or keyframes, working time, status, output CSV link and QA results.
- Prepare the weekly team summary for the Operations Manager: output, efficiency against goals, QA scores, project progress and blockers.
- Provide inputs for the monthly productivity logsheet and executive reports.
- Check attendance, punctuality and schedule adherence; arrange backups for absences.
- Run weekly documented coaching (1:1s and work reviews), onboard new specialists on tools and guidelines, and cross-train the team so each person can work on any project.
- Watch for signs of fatigue on long annotation sessions and adjust assignments and breaks to keep quality steady.
Qualifications
Required
- Bachelor's degree in any field, or equivalent work experience.
- 3+ years in data annotation, data labeling or a similar operations role, including at least 1 year as a team leader, supervisor or senior annotator.
- Hands-on experience with annotation tools such as CVAT, Label Studio, Labelbox or VGG Image Annotator.
- Experience running QA or review passes and tracking error rates and productivity.
- Strong spreadsheet skills (Google Sheets or Excel) for daily tracking and weekly reports.
- Strong written English for Slack updates and working with US-based engineers.
- Meets the minimum hardware and internet requirements below for remote work days.
- Willing to work US time zone hours, including weekends, with 3 days onsite a week and rest days on weekdays only.
Preferred
- Knowledge of basketball, volleyball, soccer or other sports on BallerTV.
- Understanding of computer vision labeling types: bounding boxes, keypoints, segmentation masks, tracking and event tagging.
- Experience with cloud storage (Google Drive, AWS S3) and large video files.
- Experience leading Hybrid or remote team members.
Minimum hardware & internet
- Processor (CPU): Intel Core i5 9th Gen or AMD Ryzen 5 (or equivalent).
- RAM: 16 GB, for large video files and several tools at once.
- Storage: at least 256 GB SSD.
- Graphics (GPU): integrated graphics are usually enough; a dedicated GPU (for example, NVIDIA GeForce GTX 1050 or better) helps with video work.
- Internet: stable broadband of at least 300 Mbps download and upload, with low latency for cloud-based annotation tools.
We are an equal opportunity employer and welcome applicants from all backgrounds.
Pay: From Php50,000.00 per month
Work Location: Hybrid remote in Taguig
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