LILT (Production)

Talent Manager

Remote, United States remote Entry Salary not listed
remote Technology & IT Curated
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About the role

About LILT
LILT is building AI for a multilingual world — helping enterprises connect with their customers in any language. Our multimodal AI platform pairs with a global network of expert linguists and AI data specialists to deliver accuracy at scale, powering translation, model evaluation, and human-in-the-loop AI data programs for many of the world’s largest brands.
About the Role
The Talent & Community team is the engine behind LILT’s global network of expert linguists and AI data specialists. As Talent Manager, you’ll own the full expert lifecycle — sourcing, vetting, testing, onboarding, and database management — ensuring LILT always has the right expert talent, in the right languages and disciplines, ready to support enterprise-scale multilingual and multimodal AI programs.
This is a generalist role at the center of how we build and grow our expert talent pool. You’ll run internal and external sourcing campaigns, design and administer testing that keeps our quality bar high, and make sure every new expert is onboarded smoothly and reflected accurately in our systems. Reporting to the Director, Talent & Community, you’ll work closely with Production, Quality, and Revenue stakeholders across the business.
What You'll Do
Own internal and external sourcing campaigns to build and maintain a healthy pipeline of expert linguists and AI data specialists across languages and disciplines.

Design, administer, and score vetting and testing assessments that evaluate candidate quality and fit before onboarding.

Manage end-to-end onboarding for new experts, ensuring materials and processes deliver a smooth, professional experience and desired outcomes.

Maintain accurate, up-to-date records in the expert database to support fast, reliable assignment decisions.

Liaise with Production and Revenue stakeholders to align sourcing plans with account and project requirements.

Analyze pipeline and database data to identify sourcing gaps across accounts and disciplines, and use it to inform recruitment plans.

Partner with team members to ensure a smooth, timely candidate experience from application through onboarding.

Look for opportunities to streamline and improve sourcing, vetting, and onboarding processes, and provide ongoing training and support to junior team members.

What You'll Bring
Experience in Applied AI (e.g., AI data sourcing, model evaluation, human-in-the-loop programs) and/or localization vendor management — recruiting, vetting, and onboarding linguists or other language professionals.

A track record running large-scale multilingual projects across multimodal disciplines (text, audio, image, and video).

Solid organizational skills, meticulous attention to detail, and the ability to prioritize competing demands under deadline pressure.

Professional-level English; additional languages are a plus.

Bachelor’s degree required.

Nice to Have
2+ years in a recruiting, sourcing, vendor management, or talent acquisition role, ideally within localization, language services, or AI data.

AI is changing how the world communicates — and LILT is leading that transformation.
LILT's mission is to make the world's information available to everyone, no matter the language they speak. Join our global community who thrive on innovation and excellence. Our collective knowledge, uniqueness, and skills deliver multilingual AI and human-verified services to Enterprises, Governments, and AI Developers around the world.
Earn money. Have fun. Advance human knowledge. Work on diverse projects from anywhere, any time you want. Get paid quickly and fairly, and build your professional network in a supportive community—all through a streamlined application process tailored to your expertise.

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 ----- style="min-height:1.5em">
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.
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Role
Technology & IT Data Analysis Digital Marketing Human Resources MySQL Sales remote

Likely questions

  1. Tell us about work you have done that is close to the Talent Manager role.
  2. How would you approach your first 30 days at LILT (Production)?
  3. Which of Data Analysis, Digital Marketing and Human Resources have you used recently, and what did it help you achieve?
  4. Describe a time you solved a problem without waiting to be told exactly what to do.
  5. How do you stay organised and communicate clearly when working remotely?

Prepare before the call

  • A recent example that proves your experience with Data Analysis, Digital Marketing and Human Resources.
  • One short story with a problem, your action, and the result.
  • Two examples that show the strengths listed on your CV.
  • A clear reason why this role and company interest you.
  • Your availability, preferred work style, and salary expectations.

Ask them

  • What would success look like in the first 90 days?
  • What are the main problems this hire should help solve?
  • How does the team give feedback and measure good work?
  • What does a normal working week look like for this role?
Practice line

I am interested in the Talent Manager role because I can bring practical experience in Data Analysis, Digital Marketing and Human Resources, learn the team quickly, and contribute to the outcomes LILT (Production) needs from this hire.

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