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First seen by our source: 23 days ago

Quality Operations Lead Contract

@ Careerflow.ai

British Columbia

RemoteContract5+ years experience
Apply now
SIGNALS

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

SenioritySenior
DepartmentQuality assurance
Experience5+ years
Management experience2+ years
Manages peopleYes
Hours per week40
Scheduleday, weekends
Travelair: none · ground: none
Work settingOffice
PositionMostly sitting
Physical demandsphysical low · computer high
LanguagesEnglish

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.

FieldValue
IndustryTechnology, Information and Internet
Company size11-50 employees
HeadquartersSan Francisco, California
Organization typePrivately Held
Year founded2022
Open jobs on Jobsy10
LinkedInView page
Job description

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:

  1. This is a project-based role involving a defined number of evaluation tasks.

  2. Each task will involve comparing multiple chatbots and providing a final assessment.

  3. Work Schedule: Five working days per week, including weekends as required, with two weekdays off.

  4. Work Hours - 7am-4pm PST

  5. Duration: 16 weeks.

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All of CanadaRemote · Hybrid · On-site · Field

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