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Artificial Intelligence • Machine Learning • Natural Language Processing • Software • Conversational AI
Own full-cycle global recruiting for senior, hard-to-fill technical roles across Research, Engineering, and Product. Build proactive sourcing strategies, define role scope and interview plans with hiring managers, evaluate technical depth for AI-native products, deliver excellent candidate experience across time zones, use funnel metrics to improve hiring velocity, and collaborate with People Ops, Legal, and Finance to scale compliant international hiring.
Top Skills:
Ai/Ml SystemsAPIsLarge Language Models (Llms)Real-Time InferenceSpeech-To-Text (Stt)Text-To-Speech (Tts)
Artificial Intelligence • Hardware • Healthtech • Software
The Senior Data Platform Engineer will manage and develop the data infrastructure on Databricks and AWS, ensuring scalable and efficient data capabilities while collaborating across teams.
Top Skills:
AWSDatabricksKafkaKinesis
Artificial Intelligence • Machine Learning • Software • Defense
Lead the ATO process for classified environments, ensuring compliance with RMF and security standards while interfacing with government stakeholders.
Top Skills:
AtoAws GovcloudAzure GovernmentDisa StigsEmassGoogle GovernmentKubernetesNist 800-53OpenshiftRmfXacta
We’re looking for a driven, multilingual professional who thrives in fast-paced environments and is excited to contribute to a collaborative, multicultural team.
As a Data Analyst on our Linguistics team, you’ll leverage your language expertise to support the development and refinement of language data across our products. Your fluency will directly impact how specific languages are represented and maintained within Lightcast’s global platform. In this role, you’ll play a pivotal part in shaping linguistic features, driving quality standards, and enhancing product functionality.
This is a full-time contract role with the potential to transition into a W-2 employee position based on performance and business needs. It’s a unique opportunity to influence the evolution of language data on a global scale while contributing to cutting-edge technology.
Major Responsibilities:
- Analyze and enhance the data quality of multilingual text classifiers
- Collaborate with linguistics and engineering teams to develop and optimize language parsers
- Translate and align taxonomies across multiple languages, including Skills, Titles, and Occupations
- Create crosswalks from source language skills and job titles to Lightcast’s standardized taxonomies
- Utilize SQL for efficient data handling, querying, and database management
Education and Experience:
- Bachelor’s degree in Linguistics, Data Analytics, NLP, or a related field (preferred)
- Strong linguistics knowledge, including syntax and structural analysis of languages
- Competency in three or more languages — strong preference given to candidates fluent in Danish, Croatian, and Czech
- Knowledge of multinational labor markets (preferred)
- Experience with data analysis using tools such as Excel or Python
- Proficiency in Microsoft Excel, including vlookups, data cleanup, and functions
- Knowledge of query languages such as SQL
- Familiarity with text analysis or machine learning principles
- Knowledge of RegEx
Lightcast is a global leader in labor market insights with headquarters in Moscow (ID) with offices in the United Kingdom, Europe, and India. We work with partners across six continents to help drive economic prosperity and mobility by providing the insights needed to build and develop our people, our institutions and companies, and our communities.
Lightcast is proud to be an equal opportunity workplace and is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. Lightcast has always been, and always will be, committed to diversity, equity and inclusion. We seek dynamic professionals from all backgrounds to join our teams, and we encourage our employees to bring their authentic, original, and best selves to work.
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