AI Research & Data Evaluation Work Student, Lilt
Part Time
3 days a week in office
AI solution for enterprise translation and content creation
Open for applications
AI solution for enterprise translation and content creation
501-1000 employees
Open for applications
3 days a week in office
501-1000 employees
Company mission
To make the world's information accessible to everyone regardless of where they were born or which language they speak.
Role
Who you are
- Currently enrolled at TU Berlin majoring in Computer Science (Bachelor/Master) or a related field
- Solid understanding of LLMs, natural language processing, or machine learning
- Highly proficient in Python, Bash, and git
- Appetite to quickly understand and incorporate new methodologies and models in a rapidly changing research landscape
- Strong drive to ship customer projects, sometimes on tight deadlines, to high quality
- Proficient in English
- Preferred: Proficient in one or more non-English languages
What the job involves
- You’ll be stress-testing the world’s most advanced models to see where they break. Your work will directly impact how frontier LLMs handle complex, multilingual tasks. Your work will be supervised by our in-house research staff
- Evaluate & Benchmark: Run rigorous evaluations on frontier LLMs and autonomous agents across diverse tasks
- Data Engineering: Create or modify benchmark data to test the reasoning and linguistic limits of modern AI
- Experimental Research: Design and run experiments to identify "model-breaking points" and interpret the resulting data
- Work directly with models and teams from frontier labs like Google or Anthropic
- Opportunity to publish papers in top-tier AI/ML conferences
- Contribute to industry-standard open-source benchmarks
Application process
- Please send the following:
- CV
- Certificate of enrollment (Immatrikulationsbescheinigung)
- Transcription of records (Notenspiegel)
- Optional: GitHub profile, course project outcomes, etc. (any relevant previous work)
Our take
Widely available tools like Google Translate are not fit for complex, operationally intense processes that require expert translations. The manual methods of yesterday can't scale to the volume of digital information produced today. Lilt works with companies, schools, and government agencies to provide AI-powered enterprise language translation. Its platform combines a translation management system and neural machine translation with human language experts to create a “human-in-the-loop” approach.
While companies like AI Translate offer intelligent machine translations, they still have linguists fine-tune and correct the texts afterwards. With the Lilt platform, AI and humans work together on text, with the AI making real-time sentence suggestions and the linguist reviewing them immediately. This collaboration delivers 3-5x greater efficiency than traditional human-only translation services, which has aided Lilt's substantial rounds of funding.
Clients such as Asics, Canva, and Digital Ocean use Lilt technology for urgent campaigns and large-scale localisation projects. Recently, Lilt launched its V3.5 translation models, which improve quality by 15% to 20%, significantly enhancing translation accuracy and efficiency. Additionally, Lilt appointed a new Chief Revenue Officer to drive growth and scale, underscoring its commitment to expanding its market presence and further improving its services.
Steph
Company Specialist at Welcome to the Jungle
Insights
2% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Apr 2022
$55m
SERIES C
May 2020
$25m
SERIES B
Total funding: $91.9m
Company benefits
- Compensation: Meaningful equity, 401(k) matching, and flexible time off plus company holidays
- 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
- Paid parental leave is provided after 6 months
- Monthly lifestyle benefit stipend via the Fringe platform to allow employees to customize benefits to their lifestyle
Company HQ
Emeryville, CA
Leadership
John DeNero
(Co-Founder & Chief Scientist)Earned a PhD in Computer Science from the University of California, Berkeley. Previously Teaching Professor at UC Berkeley for 7 years and Senior Research Scientist at Google for 4 years.
Spence Green
(CEO)Earned a Ph.D. in Computer Science from Stanford University. Previously Research Assistant - Computer Science at Stanford University for 6 years and Fellow at XSeed Capital for 1 year.
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