Labelbox · 1 day ago
Data Operations Engineer
San Francisco Bay Area
Full-time
Hybrid
Mid Level
$90K/yr - $170K/yr
3+ years expLabelbox is building critical infrastructure for AI development, and they are seeking a skilled Data Operations Engineer to optimize and maintain their data annotation workflows. The role focuses on automating processes, ensuring data quality, and providing technical support to enhance the efficiency of data labeling operations.
Artificial Intelligence (AI)Computer VisionData Collection and LabelingEnterprise SoftwareMachine LearningSoftware
Responsibilities
Build, deploy, and maintain Python automation scripts and other tools to streamline the data annotation process, automate repetitive tasks, and reduce manual effort
Identify bottlenecks in the data labeling pipeline and implement solutions to enhance throughput, accuracy, and scalability of labeling operations
Work closely with the Project Management team to ensure that data labeling meets accuracy standards and troubleshoot any issues related to data quality
Plan quality assurance workflows to use GenAI and open-source models to find data anomalies
Set up monitoring tools to track the performance of data annotation operations, reporting key metrics and areas for improvement to leadership
Integrate and manage third-party api tools with Labelbox, ensuring seamless operation and data flow across platforms
Ability to build and maintain internal tools with retool and similar tools
Provide ongoing technical support to the project managers and labelers, assisting with technical challenges in Labelbox and associated tools
Qualification
Required
3+ years of working experience in a technical role, interfacing with technical and non-technical teams, and writing Python scripts for data processing
2+ years of experience using LLMs in prompting frameworks (e.g. LLM-as-a-judge)
Some experience with machine learning models in scripts or data pipelines
Bachelor's Degree in Engineering, Computer Science, or a technical field
Practical experience using LLMs or traditional models to assist annotation QA or generate/transform data
Proficiency in Python scripting and experience with automation of operational tasks
Experience with Labelbox or similar data annotation platforms
Strong analytical and problem-solving skills with a demonstrated ability to optimize processes
Experience with data pipelines, data analysis, and data workflow management
Familiarity with cloud platforms such as AWS, GCP, or Azure
English fluency
Knowledge of Statistical Analysis techniques to uncover bad patterns in human-labeled data
Preferred
Experience with Labelbox or similar data annotation platforms
Prior experience in a production or process engineering role, especially in data operations or similar environments
Understanding of project management methodologies and the ability to work collaboratively across teams
Company
Labelbox
Labelbox is the leading data factory for AI teams.
51-200 employees
H1B Sponsorship
Labelbox has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (14)
2024 (6)
2023 (6)
2022 (7)
2021 (3)
2020 (3)
Funding
Current Stage
Late StageTotal Funding
$188.9MKey Investors
SoftBank Vision FundAndreessen HorowitzGradient
2022-01-06Series D· $110M
2021-02-11Series C· $40M
2020-02-04Series B· $25M
Leadership Team
Manu Sharma
CEO & Co-founder
Recent News
2025-11-02
2025-06-20
Company data provided by crunchbase