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Senior Quality Manager, Applied AI

LILT · Hybrid · Boston, MA · $119k–$160k

Posted by LILT on their careers site · View the original posting

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ABOUT LILT

AI is changing how the world communicates — and LILT is leading that transformation.

We're on a mission to make the world's information accessible to everyone, regardless of the language they speak. We use cutting-edge AI, machine translation, and human-in-the-loop expertise to translate content faster, more accurately, and more cost-effectively without compromising on brand, voice, or quality.

At LILT, we empower our teammates with leading tools, global collaboration, and growth opportunities to do their best work. Our company virtues—Work together, win together; Find a way or make one; Dance in the customer's shoes; Quicker than they expect; Quality is Job 1—guide everything we do. We are trusted by Intel Corporation https://www.linkedin.com/company/intel-corporation/, Canva https://www.linkedin.com/company/canva/, the United States Department of Defense https://www.linkedin.com/company/deptofdefense/, the United States Air Force https://www.linkedin.com/company/united-states-air-force/, ASICS https://www.linkedin.com/company/asics/, and hundreds of global Enterprises. Backed by Sequoia, Intel Capital, and Redpoint, we’re building a category-defining company in a $50B+ global translation market being redefined by AI.

KEY RESPONSIBILITIES

  • Ensure Workflows Are Built for Quality
  • Outcome: Every Applied AI deliverable ships with measured quality: rater agreement meets agreed thresholds per dimension, rubric scores are reproducible across raters, and reported quality figures hold up under customer audit.
  • Own Technical Tooling & Quality Infrastructure
  • Outcome: Quality metrics for every active program (defect rate, acceptance rate, rework, reviewer reliability, throughput, SLA adherence) are available without manual compilation, and systemic quality issues are detected from workflow data before a customer reports them.
  • Own Operational Quality at Scale
  • Outcome: Concurrent programs meet their quality targets within agreed cost and throughput. Acceptance rates hold at or above target, rework declines over time, and standard QC on standardized workflows is executed and interpreted by Production staff without Quality Manager involvement by the end of the second quarter in role.
  • Delivery sign-off: Every deliverable has a documented go/no-go decision before shipping, based on programmatic QA and a readiness memo with flags. Post-sign-off quality escapes stay below an agreed threshold, and each escape results in a documented process change.
  • Own Customer Quality Remediation
  • Outcome: Customer quality disputes are closed with quantitative analysis, normally at first response. Re-adjudication completes within SLA, recurring defect classes decline release over release, and annotator integrity issues are detected internally before they reach a deliverable.

QUALIFICATIONS

  • Education: B.S./M.S. in a quantitative field (CS, Statistics, Data Science, Engineering, Linguistics, HCI) or eq

[…]
r global network of professional linguists, for high-impact content that requires expert review

LILT IN THE NEWS

  • Featured in The Software Report’s https://www.thesoftwarereport.com/the-top-100-software-companies-of-2024/ Top 100 Software Companies!
  • LILT makes it onto the Inc. 5000 List https://labs.lilt.com/lilt-listed-on-the-2024-inc-5000.
  • LILT’s continues to be an intellectual powerhouse, holding numerous patents https://patents.justia.com/inventor/john-sturdy-denero that help power the most efficient and sophisticated AI and language models in the industry.
  • Check out all our news on our website https://lilt.com/news.

Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at https://lilt.com/legal/privacy.

At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including résumé screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at recruiting@lilt.com.

LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.