Перейти к основному содержимому
Coalition

Senior Manager, Machine Learning (Data Operations)

УдалённоUnited States только
Опубликовано
Роль
AI / ML
Опыт
Синьор
$134.4k–$200k/yr
Проверьте доступность

Доступно для: US only. Укажите, откуда вы работаете, чтобы проверить доступность.

Коротко по делу

Senior ML data operations manager with 5+ years in labeling/data ops or related ML/data roles. Must know annotation quality frameworks, labeling platforms, vendor/BPO management, Python and SQL. US-based role.

Ключевые навыки

Label StudioPythonSQL

Желательные навыки

Scale AILabelboxProdigy

Чем предстоит заниматься

  • Own labeling quality and methodology across Coalition — designing annotation tasks, defining quality frameworks, and ensuring every labeled dataset meets the standard required to ship production ML models.
  • Manage Coalition's labeling platform (Label Studio), work directly with ML and product teams to structure labeling programs, and oversee outsourced labeling vendors to hit quality and throughput targets.
  • Be the single point of accountability for whether Coalition's labeled data is accurate, consistent, and fit for purpose.
  • Define annotation guidelines, taxonomies, and edge-case protocols for each labeling program.
  • Establish gold standard datasets, inter-annotator agreement (IAA) targets, and audit sampling processes.
  • Identify and remediate mislabeled data in existing datasets.
  • Serve as the primary user and requirements driver for Label Studio — defining project configuration needs, workflow designs, pre-labeling pipeline requirements, and integration points with ML infrastructure.
  • Partner with the data engineering team that builds and maintains the platform.
  • Work with ML engineers, data scientists, and product managers to translate model requirements into well-structured labeling tasks.
  • Challenge teams on task design when labeling instructions are ambiguous or likely to produce unreliable labels.
  • Source, onboard, and manage external labeling vendors and BPOs in coordination with Coalition's operations team.
  • Set quality SLAs, run calibration sessions, and manage feedback loops to labelers.
  • Hold vendors accountable to accuracy, not just throughput.
  • Define and track operational metrics — label accuracy, IAA scores, cost per label, turnaround time — and use them to drive continuous improvement.
  • Identify opportunities for active learning, model-assisted labeling, and pre-annotation to reduce cost without sacrificing quality.

Что требуется

  • 5+ years in ML data operations, data labeling, or a related field (ML engineering, data science, or data engineering with heavy labeling exposure)
  • Deep understanding of annotation quality frameworks: IAA, consensus labeling, gold standard evaluation, error taxonomy, and calibration workflows
  • Direct experience managing labeling platforms (Label Studio strongly preferred; Scale AI, Labelbox, Prodigy, or similar acceptable)
  • Track record managing outsourced labeling vendors or BPOs for ML data production
  • Familiarity with common ML labeling tasks: text classification, NER, document extraction, intent detection
  • Comfortable working in Python and SQL
  • Strong opinions on what makes labeled data good or bad, and the willingness to push back when it's bad
  • Preferred: Experience in insurance, cybersecurity, or fintech is a plus but not required

Преимущества

  • 100% medical, dental and vision coverage
  • Flexible PTO policy
  • Annual home office stipend and WeWork access
  • Mental & physical health wellness programs (One Medical, Headspace, Wellhub, and more)!
  • Competitive compensation and opportunity for advancement
  • Remote-first, highly inclusive culture

provincial political party in Quebec, Canada

🇺🇸 Соединенные ШтатыInsuranceСтартапcoalitionavenirquebec.org/

Что говорят о компании

3.5/ 5

  • Employees appreciate the collaborative work environment.
  • There are opportunities for professional growth and development.
  • Some employees have raised concerns about management practices.

Детали

Способ откликаDom
$134.4k–$200k/yr