Research Engineer: AI Data-Quality Systems (SF, In-Person)

TalentPluto, Inc.; San Francisco (CA); On-site; USD 140,000 - 250,000; Full time

Job summary

TalentPluto, Inc. is seeking a Research Engineer for its San Francisco office to build automated data quality verification systems in a fast-moving AI data platform. The role starts with manual data review and evolves toward scalable, rule-based and AI-enhanced checks, with human-in-the-loop review where needed.

You will work onsite in San Francisco, collaborating with AI and data teams to improve data quality for buyers and suppliers in a decentralized marketplace.

Responsibilities

• Identify data quality issues including inconsistencies, formatting problems, and ingestion challenges
• Perform initial manual data quality review to deeply understand failure modes
• Build systems to automate quality checks at scale using rule-based and AI-driven approaches
• Design hybrid systems that balance automation with human-in-the-loop review where appropriate
• Continuously improve verification methods as the data landscape and AI tooling evolve

Job description

TalentPluto, Inc. is seeking a Research Engineer for its San Francisco office to build automated data quality verification systems in a fast-moving AI data platform. The role starts with manual data review and evolves toward scalable, rule-based and AI-enhanced checks, with human-in-the-loop review where needed.

You will work onsite in San Francisco, collaborating with AI and data teams to improve data quality for buyers and suppliers in a decentralized marketplace.