Strategic Projects Lead

Encord
San Francisco, New York, London
Workplace: OnsiteFull timeUSD 130,000 - 210,000 annuallyFunction: Business OperationsExperience: 3-7 yearsSkills: ["Structured thinking","Project management","Bias for execution","Analytical problem-solving","Communication"]

Manage and optimize data annotation and machine learning workflows for clients, translating complex AI/ML requirements into clear instructions and end-to-end project execution. Design and refine annotation processes to ensure high data quality through auditing and feedback loops. Serve as a trusted advisor to clients, align annotation teams with best practices, and partner with product and engineering to improve AI training data processes, tools, and methodologies.

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FursaFursa
Encord
Encord
4 months ago

Strategic Projects Lead

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Source: Company careers pageValidated by: Fursa AI
Last checked: 9 hours agoStatus: Live

Job Summary

Manage and optimize data annotation and machine learning workflows for clients, translating complex AI/ML requirements into clear instructions and end-to-end project execution. Design and refine annotation processes to ensure high data quality through auditing and feedback loops. Serve as a trusted advisor to clients, align annotation teams with best practices, and partner with product and engineering to improve AI training data processes, tools, and methodologies.
Location: San Francisco, New York, London
Workplace: Onsite
Employment Type: Full time
Job Function: Business Operations
Seniority: Mid level

Key Responsibilities

  • •Oversee data annotation projects, translating AI/ML requirements into clear workflows and instructions for annotation teams.
  • •Ensure high data quality by designing/refining annotation processes, auditing outputs, and implementing feedback loops.
  • •Advise clients on designing and implementing the best data annotation workflow for their human annotation processes.
  • •Provide guidance and feedback to annotation teams to ensure context, skills, and alignment with project requirements and best practices.
  • •Partner with product and engineering teams to improve AI training data processes, tools, and methodologies.
Travel: Medium travel

Pay and Benefits

Salary: USD 130,000 - 210,000 annually
Equity and Bonus:Equity
Perks:Health InsuranceDentalVisionLearning BudgetPaid Leave

Key Requirements

  • •3–7 years of professional experience, with preference for strategy consulting/operations/data roles in AI or technology companies.
  • •Own complex, multi-stakeholder workflows end-to-end, from scoping and planning through execution, quality assurance, and iteration.
  • •Proficiency in Python or SQL to query data, automate workflows, or audit annotation outputs; familiarity with relational databases or data annotation tooling.
  • •Experience designing or optimizing data operations processes focused on quality, consistency, and scalability, ideally with human-in-the-loop workflows or structured labelling.
  • •Engage effectively with both technical stakeholders (ML engineers, data scientists) and non-technical clients to translate requirements clearly.
Experience:3-7 yearsAIMachine learningData annotationHuman-in-the-loop
Skills:Structured thinkingProject managementBias for executionAnalytical problem-solvingCommunication
Tech Stack:PythonSQL

Company Brief

Encord
Provides a computer vision data platform for labeling, dataset management, and model evaluation, enabling teams to build, validate, and monitor ML models with collaboration and tooling for high-quality annotated data.
Industry: Data Infrastructure
Company Size: Medium (51 to 250 employees)
Growth: Growth Stage Startup
Funding: Series A
Headquarters: London, United Kingdom
Founded: 2019
WebsiteLinkedIn