First seen by our source: 23 days ago
Quality Operations Lead Contract
@ Careerflow.ai
British Columbia
Overview
Careerflow.ai is hiring a contract Quality Operations Lead to manage day-to-day quality for multimodal AI annotation projects. The role leads QA teams, tracks quality metrics, resolves issues fast, and runs a 16-week project with five working days a week, 7am to 4pm PST.
Responsibilities:
- Lead Senior QA Leads and QA Leads across shifts
- Set review priorities, sampling plans and quality coverage
- Track accuracy, error rates and turnaround time
- Identify root causes and drive corrective actions
- Report quality performance to the Quality Manager
Requirements summary:
- 5 to 7 years overall experience
- 2 to 3 years leading QA or quality operations teams
- Strong knowledge of sampling, auditing and calibration
- Excellent attention to detail
- Experience in annotation or AI training data preferred
Tools & skills
Source and dates
Source type not verified · dover
- Employer posting date
- Not provided
- First seen by our source
- 2026-10-14
- Source record updated
- 2026-10-14
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Senior |
| Department | Quality assurance |
| Experience | 5+ years |
| Management experience | 2+ years |
| Manages people | Yes |
| Hours per week | 40 |
| Schedule | day, weekends |
| Travel | air: none · ground: none |
| Work setting | Office |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English |
Summary and details written by AI from the posting; the employer’s posting is the authority.
Careerflow.ai
Saved company profile
Historical company information from a saved The Jobs API profile (LinkedIn/Crunchbase fields). It is not live-verified; figures may have changed. Missing values remain unknown.
Introducing an AI Career Copilot
Full company description
Landing your dream job just got easier. Simplify your career with our all-in-one career copilot platform.
- LinkedIn followers
- 190,989
- People associated on LinkedIn
- 64
- Reported office locations
- San Francisco, California 94105, US
- Business categories
- Human Resources
- Consumer Software
- Employment
- Recruiting
- Artificial Intelligence (AI)
- Other recorded names
- Careerflow.ai
- Profile identifies a recruitment agency
- No
- Reported total investment
- 800,000
Currency and observation date were not supplied; this is not a current valuation or a funding round.
Landing your dream job just got easier. Simplify your career with our all-in-one career copilot platform.
| Field | Value |
|---|---|
| Industry | Technology, Information and Internet |
| Company size | 11-50 employees |
| Headquarters | San Francisco, California |
| Organization type | Privately Held |
| Year founded | 2022 |
| Open jobs on Jobsy | 10 |
| View page |
Careerflow Human Data Labs partners with AI companies to bring real-world professional expertise into their products.
About the role
Manage day-to-day quality operations for multimodal AI annotation projects. Reporting to the Quality Manager, you will lead QA teams, monitor quality performance, resolve issues quickly, and ensure deliverables meet client standards within tight turnaround times.
Key Responsibilities
Lead Senior QA Leads and QA Leads across shifts.
Set review priorities, sampling plans, and quality coverage.
Implement audits, scoring rubrics, and calibration processes.
Track accuracy, agreement, error rates, review throughput, and turnaround time.
Identify root causes and drive corrective actions with Team Leads.
Resolve guideline-related questions and document decisions.
Share quality insights after each delivery.
Report quality performance to the Quality Manager.
Support client reviews and quality-based incentive programs.
Required Qualifications
5–7 years of overall experience, including 2–3 years leading QA or quality operations teams.
Strong knowledge of sampling, auditing, calibration, and root-cause analysis.
Excellent attention to detail and ability to identify systemic issues.
Strong communication and stakeholder-management skills.
Experience in annotation, data labeling, or AI training data projects is preferred.
Offer Details:
This is a project-based role involving a defined number of evaluation tasks.
Each task will involve comparing multiple chatbots and providing a final assessment.
Work Schedule: Five working days per week, including weekends as required, with two weekdays off.
Work Hours - 7am-4pm PST
Duration: 16 weeks.
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