Première détection par notre source: il y a 26 jours
Quality Operations Lead Contract
@ Careerflow.ai
Colombie-Britannique
En bref
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.
Responsabilités :
- 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
Résumé des exigences :
- 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
Outils et compétences
Source et dates
Type de source non vérifié · dover
- Date publiée par l’employeur
- Non fourni
- Première détection par notre source
- 2026-10-14
- Mise à jour du dossier source
- 2026-10-14
Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.
Détails du poste
| Niveau | Senior |
| Domaine | Assurance qualité |
| Expérience | 5 an(s) et plus |
| Expérience en gestion | 2 an(s) et plus |
| Gestion d’équipe | Oui |
| Heures par semaine | 40 |
| Horaire | jour, fins de semaine |
| Déplacements | avion : aucun · route : aucun |
| Milieu de travail | Bureau |
| Position | Surtout assis |
| Exigences physiques | physique faible · ordinateur élevé |
| Langues | English |
Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.
Careerflow.ai
Profil d’entreprise sauvegardé
Renseignements historiques provenant d’un profil The Jobs API sauvegardé (champs LinkedIn/Crunchbase). Ils ne sont pas vérifiés en temps réel; les chiffres peuvent avoir changé. Les valeurs manquantes restent inconnues.
Introducing an AI Career Copilot
Description complète de l’entreprise
Landing your dream job just got easier. Simplify your career with our all-in-one career copilot platform.
- Abonnés LinkedIn
- 190 989
- Personnes associées sur LinkedIn
- 64
- Bureaux déclarés
- San Francisco, California 94105, US
- Catégories d’activité
- Human Resources
- Consumer Software
- Employment
- Recruiting
- Artificial Intelligence (AI)
- Autres noms enregistrés
- Careerflow.ai
- Le profil indique une agence de recrutement
- Non
- Investissement total déclaré
- 800 000
La devise et la date d’observation ne sont pas fournies; ce n’est ni une valorisation actuelle ni une ronde de financement.
Landing your dream job just got easier. Simplify your career with our all-in-one career copilot platform.
| Champ | Valeur |
|---|---|
| Secteur | Technology, Information and Internet |
| Taille | 11-50 employees |
| Siège social | San Francisco, California |
| Type d’organisation | Privately Held |
| Fondée en | 2022 |
| Offres sur Jobsy | 10 |
| Voir la 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.
Journal
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