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Data Annotation Engineer Jobs (NOW HIRING)

Abaka AI

Data Acquisition Engineer

Mountain View, CA · On-site

$136.30K - $163.60K/yr

As a Data Acquisition Engineer, you will own and scale the raw data supply ecosystem by combining ... data annotation, and OTS datasets. Founded in 2021, the company is headquartered in Palo Alto, USA ...

Applied Intuition

Data Quality Specialist

Sunnyvale, CA

$30 - $45/hr

... annotation and labeling to support machine learning model training * Document quality standards and create comprehensive reports on data quality metrics * Collaborate with engineering teams to ...

Gehc

Data Manager - AI Development

Waukesha, WI

This role works closely with AI/ML engineers to define data needs for AI features, coordinates with internal and external data collection teams/clinical team, oversees annotation activities, and ...

Abaka AI

Data Acquisition Engineer

Mountain View, CA · On-site

The Data Acquisition Engineer will own and scale the raw data supply ecosystem, combining technical ... data annotation, and OTS datasets. Founded in 2021, the company is headquartered in Palo Alto, USA ...

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Data Annotation Engineer information

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$51.5K

$147.5K

$197K

How much do data annotation engineer jobs pay per year?

As of May 30, 2026, the average yearly pay for data annotation engineer in the United States is $147,461.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,000.00 and $196,000.00 per year, depending on experience, location, and employer.

What is a Data Annotation Engineer job?

A Data Annotation Engineer is responsible for labeling and annotating data—such as text, images, audio, or video—to train machine learning models. They ensure that data is accurately categorized and structured to improve model performance. This role often involves using specialized annotation tools, following detailed guidelines, and working closely with data scientists and AI teams. Data Annotation Engineers play a crucial role in the development of AI applications by providing high-quality labeled datasets for supervised learning.

What are the key skills and qualifications needed to thrive in the Data Annotation Engineer position, and why are they important?

To thrive as a Data Annotation Engineer, you need a strong background in data analysis, attention to detail, and familiarity with annotation processes, often supported by a degree in computer science or a related field. Proficiency with annotation tools like Labelbox, CVAT, or VIA, and understanding of data formats used in machine learning, is commonly required. Excellent communication, collaboration, and organizational skills help you effectively manage projects and cooperate with cross-functional teams. These abilities are crucial for delivering high-quality labeled data, which directly impacts the performance of AI and machine learning models.

What are the main challenges faced by Data Annotation Engineers in their daily work?

One of the main challenges Data Annotation Engineers face is ensuring consistent accuracy and quality in labeling large and often complex datasets. Attention to detail is critical, as even small errors can significantly affect machine learning model performance. Additionally, engineers must frequently adapt to evolving annotation guidelines and emerging data types, which requires ongoing learning and flexibility. Collaboration with data scientists and project managers is common to clarify requirements and resolve ambiguities, making strong communication skills essential for success.
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Data Annotation Engineer jobs near you
Infographic showing various Data Annotation Engineer job openings in the United States as of May 2026, with employment types broken down into 33% As Needed, and 67% Part Time. Highlights an 4% Physical, and 96% Remote job distribution, with an average salary of $147,461 per year, or $70.9 per hour.
Senior/Staff Software Engineer, ML Data Infrastructure

Senior/Staff Software Engineer, ML Data Infrastructure

Nuro

Mountain View, CA • On-site

$126.10K - $171.40K/yr

Full-time

Posted 29 days ago

Job description

Job Summary:
Nuro is a self-driving technology company on a mission to make autonomy accessible to all. They are seeking a Senior/Staff Software Engineer to design and develop scalable data infrastructure for machine learning applications in autonomous driving, focusing on data pipelines, storage systems, and evaluation metrics.
Responsibilities:
• Design and develop unified, introspectable, large-scale batch and streaming data pipelines that can ingest and process data across a wide range of use cases relevant to evaluation.
• Create and implement a storage system capable of accommodating both the large volume and diverse range of evaluation and performance metrics.
• Construct intuitive dashboards and reports to present evaluation results, facilitating straightforward comparisons that highlight both improvements and regressions of the ML components and the overall system.
• Develop and maintain continuous testing and monitoring systems to guarantee the integrity and resilience of our data and associated data pipelines.
• Develop data mining tools with applied ML techniques to support data discovery needs from Autonomy including Perception, Behavior, and Mapping
• Develop data annotation tools to support first-party and third-party labeling workforce to provide high fidelity perception, mapping, and driving trajectory labels
• Scale data annotation labels with applied State-of-the-art ML techniques
Qualifications:
Required:
• You have a degree in BS, MS.c or Ph.D, plus 4 years of relevant work experience
• Strong proficiency in Python or similar languages
• Domain experience: Experience working with large-scale data and building scalable & reliable systems/data pipelines; ability to understand and design complex systems
• Engineering leadership: Experience setting team or project product and technical vision, timelines, and prioritization; being a Technical Lead, mentoring and support junior engineers
• Technical excellence: Ability and willingness to deep dive into implementation, driving technical standards and best practices across broader software organization
• A bachelor's degree in Computer Science, Electrical Engineering, or a closely related field
Preferred:
• Strong proficiency in C++ or other high-performance low-level languages
• Strong knowledge of GCP, GCS, BigQuery, or PostgreSQL
• Knowledge of data engineering, and its tooling and best practices
• Knowledge of batch and streaming data processing, warehousing, and analytics solutions
• Experience working with large-scale distributed data systems
• Experience with system & framework design
• Experience with data workflow orchestration platforms
Company:
Nuro is a robotics company specializing in the development of autonomous driving technologies. Founded in 2016, the company is headquartered in Mountain View, USA, with a team of 501-1000 employees. The company is currently Late Stage.

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