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Member of Technical Staff - Multilingual Data

reflectionaiSan Francisco, CAResearch
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Salary
Not listed
Job type
Full-time
Posted
11 Sept 2026
Status
Open · checked 7d ago

About this role

The Member of Technical Staff - Multilingual Data role at reflectionai in San Francisco, CA is a full-time position focused on building and scaling multilingual data infrastructure for open AI models. This position suits software engineers and researchers with expertise in handling large-scale language datasets and a strong background in distributed environments.

Role Overview

Reflectionai operates a research lab focused on making intelligence open and accessible. The team builds open models and requires technical staff to handle complex multilingual datasets that shape the future of AI technology.

Key Responsibilities

Build and operate large-scale multilingual data pipelines involving sourcing, cleaning, deduplication, language identification, and script normalization across various resource levels.
Establish quality standards for multilingual corpora, covering translation quality, cultural fidelity, toxicity, and contamination verification.
Conduct scientific experiments to improve multilingual data efficiency for large language models.
Manage independent research projects while contributing to larger team initiatives.
Create evaluation benchmarks and diagnostics to identify model degradation across languages, registers, and domains.
Collaborate directly with pre-training, mid-training, and post-training groups to enhance multilingual capabilities.

Requirements

Strong background in software engineering principles with the ability to process web-scale datasets in distributed systems.
Practical experience creating large-scale data pipelines for language models, machine translation, speech, or search applications spanning multiple languages.
Proficiency or working knowledge in at least one language besides English.
Measurement-first approach to validating data improvements.
Ability to balance research goals with practical engineering constraints.
Comfort working in ambiguous situations with high accountability in a compact team.

Nice to Have

Graduate degree in Computer Science, Machine Learning, or a related field.
Research publications related to multilingual natural language processing, low-resource languages, or evaluation methods.
Experience managing annotation vendors or running crowdsourced data operations at scale.
Knowledge of tokenizer design and impacts on non-Latin scripts.

Skills and Tools

Distributed data processing environments
Language identification and script normalization tools
Tokenizer design frameworks
Multilingual corpora evaluation metrics

Salary and Benefits

Competitive salary and equity packages
Stock options for all contributors
Comprehensive health, dental, vision, and life insurance coverage with an annual wellness allowance
Daily lunch and dinner provided at the office
22 weeks of paid parental leave for all new parents
Unlimited paid time off in the United States
Visa sponsorship support
Regular team off-sites, happy hours, and celebrations

About the Company

Reflectionai is a research lab dedicated to creating open foundational models and making intelligence accessible and customizable for everyone.

How to Apply

Interested candidates should apply on the official company careers page.

Skills and tech stack

Questions candidates ask

Where is the Member of Technical Staff - Multilingual Data role located?

The position is located in San Francisco, CA.

What kind of visa support does reflectionai provide?

The company sponsors visas to help exceptional talent join the team and supports long-term immigration pathways where applicable.

What health and family benefits are included?

Employees receive comprehensive medical, dental, vision, and life insurance, an annual wellness allowance, and 22 weeks of paid parental leave.

What is the vacation policy for this role?

The position includes unlimited paid time off in the U.S.

Are degrees required for this position?

A graduate degree is listed under nice-to-have qualifications rather than a strict requirement.

Ready to apply?

The application is on the official reflectionai careers page.

Apply on company site