Technical Project Manager (Applied Artificial Intelligence, Contract)

• We are looking for a Technical Project Manager to join our Applied AI team to lead data programs that help improve automatic speech recognition (ASR) for low-resource and long-tail languages—making speech technology more accurate and accessible for communities underserved by existing AI systems
• Four-month fixed-term contract, requiring 4–6 hours per day, with potential for extension
• You will own end-to-end program delivery, bringing together multilingual teams, language expertise, and technical capabilities to meet customer goals
• This is a high-ownership, outcomes-driven role with accountability for quality, timelines, and budget, and the opportunity to build scalable approaches to complex AI data challenges
• Delivery planning: Own end-to-end program plans, from pilot and calibration through scaled production and final delivery, aligning scope, staffing, and milestones with customer requirements
• Tracking and forecasting: Monitor output against volume and timeline targets, forecast delivery using actual performance, and adjust capacity or workflows to address gaps
• Program milestones: Lead readiness reviews, quality checkpoints, and acceptance milestones, coordinating stakeholders and driving timely decisions
• Budget and margin: Manage delivery costs against budget and margin targets; proactively flag scope changes, cost pressures, and resource trade-offs
• Build and lead teams: Assemble multilingual delivery teams with the expertise needed for complex AI data programs
• Align capacity: Align team capacity and capabilities with program goals
• Enable performance: Foster strong performance through clear expectations, training, and feedback
• Drive data quality: Ensure AI datasets meet customer standards and support meaningful improvements in model capabilities
• Lead continuous improvement: Collaborate with language experts, Quality, and Research to improve data consistency and delivery performance
• Uphold responsible data practices: Maintain high standards for privacy, confidentiality, and secure handling of customer data
• Build customer trust: Serve as a key delivery contact alongside the account team, aligning expectations and maintaining strong customer relationships
• Communicate program performance: Translate progress, risks, and trade-offs into clear, actionable updates for customers and internal stakeholders
• Drive alignment and decisions: Bring cross-functional teams together to resolve issues, manage changing requirements, and keep programs moving toward shared goals
• Partner with Engineering: Translate program needs into tooling and automation improvements that enable efficient, high-quality AI data delivery
• Build for scale: Develop reusable processes and playbooks that capture lessons learned, accelerate future launches, and strengthen delivery across language programs

Benefits

• Medical Benefits: Employees receive coverage of medical, dental, and vision insurance, plus FSA/DFSA, HSA, and Commuter benefits. In addition, LILT pays for basic life insurance, short-term disability, and long-term disability
• Monthly lifestyle benefit stipend via the Fringe platform to allow employees to customize benefits to their lifestyle
• Paid parental leave is provided after 6 months
• Compensation: Meaningful equity, 401(k) matching, and flexible time off plus company holidays- This role requires high cross-functional aptitude and a singular focus on getting things done
• Successful candidates will be able to demonstrate a history of making significant demands of a business and aligning stakeholders to a project’s success
• Adaptability: Comfortable bringing structure to ambiguous requirements and leading programs in evolving environments
• Team leadership: Demonstrated success leading distributed teams to meet demanding delivery and quality goals
• Experience: 3+ years managing high-volume, deadline-driven service delivery in data annotation, transcription, localization, content operations, BPO or a comparable field
• Analytical skills: Strong ability to use data, dashboards, and forecasting to guide decisions on delivery, quality, and cost
• Communication: Excellent written English and the ability to write unambiguous instructions for multilingual contributors
• Quality: Working knowledge of quality assurance for AI training data, including evaluation, sampling, and acceptance criteria
• Availability: Able to commit for the full contract term
• Audio data: Experience with speech or audio datasets, ASR training data, or transcription
• Global delivery: Experience building or managing multilingual teams across international markets
• Data stewardship: Experience delivering programs with privacy, confidentiality, and secure data-handling requirements
• Tools: Familiarity with annotation platforms and Jira
• Languages: Fluency in an additional language; experience working with low-resource languages is a plus