AI Data Partner
About The Position
About the AI Data Implementation Team The AI Data Implementation Team is responsible for building, executing, and governing the systems, data and workflows that ingest, enrich, validate, and benchmark unstructured data and LLM logic at scale to support AI investment use cases. The team applies Bridgewater’s world class systems thinking to operationalize the complex datasets needed to develop an ecosystem of ML/LLM driven workflows. Our mission is to collect, validate, and augment data that truly reflects the thinking of investment experts, transforming it into the foundation for next-generation ML and LLM models. About the Role Data Partners are scrappy problem solvers who turn complex ideas about model evaluation and human judgment into production-grade data pipelines. Working side-by-side with senior investors, ML scientists, Data Leads, and technologists, you’ll construct and maintain the datasets, transformations, and metrics that power our LLM benchmark suites. This is a hands-on, high-impact role for someone who loves clean data, reproducible systems, and tight iteration loops — a mix of engineering craft and analytical curiosity. You Will Drive the Following Responsibilities Data Partners handle the unstructured yet detailed data work, enabling researchers to focus on generating/testing investment insights. In our AI Data Team, Data Partners will mostly work with unstructured content and LLM pipeline data and be responsible for:
Requirements
- Strong ownership of data quality. Capable of precise and detailed review when necessary to complement systematic validations.
- Communicates clearly, seeks context, and enjoys cross-functional collaboration.
- 3–5 years of experience in data analysis, data engineering, or ML ops roles.
- Fluent in Python, Excel and SQL.
- Familiar with frontier LLMs and code assist tools.
- 4-year degree from an accredited undergraduate institution majoring in engineering, mathematics, statistics, or related field.
Nice To Haves
- Experience with model evaluation or ML workflows a plus.
- Bonus: familiarity with financial or macroeconomic datasets.
Responsibilities
- Understanding: Start by understanding the business goals. Data Partners draw out expertise from the researcher or other SMEs to inform their approach.
- Acquiring: Finding data and getting it into researchers’ hands. You will be capable of scraping websites, using APIs, and wrangling the data from how it exists externally to the structure needed by the project. Data Partners conduct data profiling and sanity checks to pull forward problems with quality and coverage.
- Investigating: Data Partners investigate and analyze details of the data, based on previously known challenges and reacting to problems researchers uncover.
- Improving: Data Partners improve and extend the dataset, applying logic to fix issues, pulling in more related data, longer history, or keeping it up to date as project evolves.
- Hardening: Through time, you will harden the asset, e.g. make it more efficient to update, systemize validations to maintain quality through time, and standardize to make it easier to use with other data.
- Developing: Apply techniques to standardize unstructured content to make it easier to find and use the most relevant content
- Building: Benchmark data sets and use them to continually evaluate LLM systems.
- Enable : Work with LLM system traces to enable diagnosability and process improvements.
Benefits
- Health insurance with 100% premium covered and access to additional concierge medical services
- 401(k) plan with generous employer match
- Paid time off, including fully paid parental leave and a competitive PTO package
- Workplace flexibility and access to back up childcare
- Financial assistance for family building support, including adoption and egg freezing
- Workplace wellness, including on-site gyms, free meals and healthy snacks, and meditation rooms
- An engaged and active community that includes many company events, affinity networks, and extracurricular interest groups
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
