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Bilingual Data Research Jobs (NOW HIRING)

Bristol-Myers Squibb

Own container management for open source multilingual and data-quality tooling -- building ... Prior exposure to Life Sciences Research & Development is a plus.* Active contributor or maintainer ...

Zortech Solutions

Data Entry Bilingual-Canada

$17.50 - $23.25/hr

Data Entry Bilingual and Efficient in data entry and information research * The member can work from anywhere but must be able to meet our 8 to 4 Montreal hours for support and meetings. * The ...

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Bilingual Data Research information

What is a bilingual data researcher?

A Bilingual Data Researcher is a professional who collects, analyzes, and interprets data in two or more languages. They play a crucial role in organizations that need to gather and process information from diverse linguistic sources, ensuring accuracy and cultural relevance. Their responsibilities often include translating documents, conducting research in multiple languages, and supporting data-driven decision-making. This role is valuable in global companies, market research, and academic projects where multilingual data is essential.

What are the key skills and qualifications needed to thrive as a bilingual data researcher?

To thrive as a Bilingual Data Researcher, you need strong analytical skills, proficiency in at least two languages, and experience with data collection and analysis, usually backed by a relevant degree. Familiarity with data analysis tools such as Excel, SQL, or Python, and experience using research databases are commonly required. Excellent communication, attention to detail, and cultural awareness are critical soft skills for interpreting and presenting data accurately across languages. These skills enable effective cross-lingual data gathering and insight generation, supporting informed decision-making in diverse environments.

How does being bilingual enhance collaboration and effectiveness in a data research role?

Being bilingual in a Data Research position allows you to access, analyze, and interpret data from multiple linguistic sources, which is especially valuable when working on international projects or with global teams. This skill facilitates more accurate data gathering and enables smoother communication with stakeholders or colleagues who speak different languages. Additionally, bilingual data researchers often act as bridges between teams, ensuring that insights and findings are clearly understood across language barriers. This not only increases the quality of research but also fosters a more inclusive and collaborative work environment.

What are popular job titles related to Bilingual Data Research jobs?

For Bilingual Data Research jobs, the most frequently searched job titles are:

AI Research Scientist, Pre-training Data - MSL FAIR

Menlo Park, CA • On-site

Meta
Internet and IT • 10K+ employees
Learn more about Metaexternal

$184K - $257K/yr

Full-time

Re-posted 17 days ago

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

Job description

Meta is seeking AI research scientists to help us build the data foundation for Meta's most advanced Large Language Models. We're looking for researchers with LLM expertise to join us on working with data at scale and to push beyond the data ceiling. Our team contributes to data curation across all stages of LLM development (pre-training, mid-training, post-training) and all domains/modalities (e.g., web, code, agent, multilingual). We tackle the hardest challenges at trillion-scale, including organic data curation, synthetic data generation, agent and interaction data, and frontier paradigms that redefine what's possible. Based in Meta Superintelligence Labs (MSL) within the Fundamental AI Research Organization (FAIR), you'll directly contribute to Meta's frontier models like Llama, while having the chance to collaborate with researchers and engineers across MSL.
Responsibilities
Collaborate with cross-functional teams to develop Meta's next foundational models
• Advance our understanding of data research, such as how to overcome data walls and how best to create synthetic data
• Fundamentally improve our data velocity across workflows and projects by contributing to the advancement of data tooling
• Architect efficient and scalable data curation systems and pipelines
• Execute on high priority projects in pre-training, mid-training, or post-training data curation
• Apply specialized expertise in agentic data, synthetic data, reasoning data, web parser, coding data, data scaling laws, or datamix optimization
• Lead complex technical projects end-to-end
Minimum Qualifications
• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• PhD in Computer Science or a related technical field
• 2+ years of industry research experience in LLM/NLP or related AI/ML models
• Experience as a formal technical lead, leading major technical initiatives with cross-functional impact, and/or influencing strategy across multiple teams
• Practical experience with pre-training or mid-training data curation for large foundational models and experience working with organic, synthetic, agentic, or reasoning data for LLMs
• Published research in leading peer-reviewed conferences (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP) and/or demonstrated significant industry influence in the field of AI
Preferred Qualifications
• Experience working on frontier-quality/state-of-the-art Large Language Models
• Multiple first-author publications in leading peer-reviewed conferences (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP)
• Hands-on experience with modeling frameworks like PyTorch
• Hands-on experience on SQL and large-scale data handling, with familiarity of frameworks like Spark and Hive
About Meta
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.
Equal Employment Opportunity
Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.

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