Note: The job is a remote job and is open to candidates in USA. Defined.ai provides ethically sourced data and end-to-end services for artificial intelligence and machine learning model training. The AI Data Project Manager plans, scopes, costs, and operationally designs customer projects, coordinating with Sales, Operations, Supplier Management, and customers to develop executable delivery strategies. The role also supports proposals, pricing, staffing, supplier coordination, risk mitigation, and presales-to-delivery handoffs.
Responsibilities
- Review customer requirements and translate them into clear, executable project plans
- Work with Sales and customers to understand project objectives, scope, deliverables, timelines, quality requirements, and constraints
- Determine the resources, skills, languages, geographies, suppliers, and operational capabilities required to execute projects
- Develop project assumptions, dependencies, risks, milestones, and execution plans
- Identify gaps or ambiguities in customer requirements and work with stakeholders to resolve them
- Ensure proposed project approaches are operationally feasible before commitments are made to customers
- Develop project cost models based on labor requirements, geography, supplier rates, quality requirements, project complexity, and operational assumptions
- Develop staffing and capacity models for customer projects
- Support the development of customer pricing and commercial proposals
- Analyze different delivery approaches to identify the optimal balance of cost, quality, scalability, and timeline
- Work with Sales, Finance, Supplier Management, and Operations to validate project economics
- Have a strong understanding of AI data-service workflows, including: + Data collection + Image and video annotation + Audio and speech data + Transcription + Translation + LLM and AI evaluation + Data validation and quality assurance + Human-in-the-loop AI workflows
- Determine the appropriate operational approach for different project requirements
- Understand how project specifications affect staffing, cost, timeline, quality, and delivery risk
- Stay current with emerging AI data-service methodologies and industry practices
- Partner with Sales teams during customer discovery and opportunity development
- Participate in customer calls to understand requirements and explain proposed delivery approaches
- Translate customer requirements into clear internal execution requirements
- Support development of proposals, Statements of Work, RFP responses, and RFI responses
- Prepare project scopes, methodologies, timelines, staffing models, assumptions, and pricing inputs
- Serve as a key point of contact between Sales and delivery organizations during the presales process
- Work with Supplier Management to identify appropriate suppliers and contributor pools for customer projects
- Define required supplier capabilities, geographic coverage, language capabilities, capacity, and rates
- Validate supplier availability and costs against proposed project requirements
- Coordinate with Operations and Project Management teams to ensure proposed approaches can be successfully delivered
- Support transition of awarded projects from presales into production
- Identify operational risks and develop mitigation strategies
- Develop project plans, execution methodologies, and operational approaches for RFPs, RFIs, and other customer requests
- Contribute to technical and commercial proposals
- Develop assumptions, staffing models, quality approaches, timelines, and pricing inputs
- Coordinate information across Sales, Operations, Supplier Management, Finance, and other internal stakeholders
- Ensure customer commitments are aligned with operational capabilities
- Coordinate multiple stakeholders to move opportunities from requirements through solution definition and delivery handoff
- Track open questions, decisions, dependencies, and risks
- Communicate project requirements clearly across technical, operational, commercial, and customer-facing teams
- Drive timely resolution of issues that could affect scope, cost, quality, or delivery
- Maintain accurate project documentation and ensure key assumptions are captured
Skills
- 3+ years of experience in project management, program management, operations, solutions, or consulting within the AI data services industry
- Experience managing projects involving multiple stakeholders, teams, suppliers, or external partners
- Strong understanding of project planning, requirements gathering, resource planning, and execution
- Strong analytical and problem-solving skills
- Experience working with budgets, costing, pricing, staffing, or resource planning
- Excellent written and verbal communication skills
- Ability to manage multiple opportunities and projects simultaneously
- Strong attention to detail and organizational skills
- Ability to work independently in a fast-paced environment
- Ability to translate ambiguous customer requirements into structured project plans
- The successful candidate should be comfortable working with AI and data concepts but does not need to be a software engineer or technical architect
- AI data services
- Data annotation
- Data collection
- Data labeling
- LLM evaluation
- Speech or language data
- Transcription
- Translation
- Human-in-the-loop AI
- Crowdsourcing
- AI model evaluation
- Content moderation
- Data operations
- Experience at companies providing AI data, localization, crowdsourcing, BPO, or technology-enabled data services is particularly valuable
Benefits
- Flexible working schedule and hybrid model, allowing employees to manage their schedule and work from the office or home.
- Excellent career development opportunities in a high growth company, with a well-described career path supported by a supervisor.
- Culture of feedback and continuous improvement.
- International and diverse team with language classes.
- Continuous training opportunities, including hands-on workshops, unlimited access to Coursera, and formal development opportunities.
- Daily breakfast and lunch.
- Weekly happy hours.
- Extra time-off.
- In-office massages.
Company Overview
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