Technical Project Manager, Applied AI (Contract)

LILT

14h

About The Position

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. 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.

Requirements

3+ years managing high-volume, deadline-driven service delivery in data annotation, transcription, localization, content operations, BPO or a comparable field.
Demonstrated success leading distributed teams to meet demanding delivery and quality goals.
Strong ability to use data, dashboards, and forecasting to guide decisions on delivery, quality, and cost.
Working knowledge of quality assurance for AI training data, including evaluation, sampling, and acceptance criteria.
Excellent written English and the ability to write unambiguous instructions for multilingual contributors.
Comfortable bringing structure to ambiguous requirements and leading programs in evolving environments.
Able to commit for the full contract term.

Nice To Haves

Experience with speech or audio datasets, ASR training data, or transcription.
Experience building or managing multilingual teams across international markets.
Experience delivering programs with privacy, confidentiality, and secure data-handling requirements.
Familiarity with annotation platforms and Jira.
Fluency in an additional language; experience working with low-resource languages is a plus.

Responsibilities

Own end-to-end program plans, from pilot and calibration through scaled production and final delivery, aligning scope, staffing, and milestones with customer requirements.
Monitor output against volume and timeline targets, forecast delivery using actual performance, and adjust capacity or workflows to address gaps.
Lead readiness reviews, quality checkpoints, and acceptance milestones, coordinating stakeholders and driving timely decisions.
Manage delivery costs against budget and margin targets; proactively flag scope changes, cost pressures, and resource trade-offs.
Assemble multilingual delivery teams with the expertise needed for complex AI data programs.
Align team capacity and capabilities with program goals.
Foster strong performance through clear expectations, training, and feedback.
Ensure AI datasets meet customer standards and support meaningful improvements in model capabilities.
Collaborate with language experts, Quality, and Research to improve data consistency and delivery performance.
Maintain high standards for privacy, confidentiality, and secure handling of customer data.
Serve as a key delivery contact alongside the account team, aligning expectations and maintaining strong customer relationships.
Translate progress, risks, and trade-offs into clear, actionable updates for customers and internal stakeholders.
Bring cross-functional teams together to resolve issues, manage changing requirements, and keep programs moving toward shared goals.
Translate program needs into tooling and automation improvements that enable efficient, high-quality AI data delivery.
Develop reusable processes and playbooks that capture lessons learned, accelerate future launches, and strengthen delivery across language programs.