Data Annotator

Akkodis; Sunnyvale (CA); On-site; USD 48,000 - 55,000; Full time

Job summary

Akkodis is seeking a Data Annotator for a contract role located onsite in Sunnyvale, California. You will transform raw sensor data into high-quality training sets for autonomous driving models, covering 3D object detection and HD map annotation.

The ideal candidate has a bachelor’s degree with 3+ years in data annotation, experience in autonomous driving, and proficiency with 3D/2D annotation tools. You will work onsite 5 days a week and ensure pixel-perfect data quality.

Qualifications

• Bachelor’s degree in a relevant field and 3+ years data annotation experience.

Responsibilities

• Annotate visual 3D data (LiDAR/Point Cloud) and 2D camera imagery using bounding boxes, cuboids, polygons, and pixel-level segmentation.

Skills

3D annotation

2D annotation

Data management

Data analysis

Autonomous driving

Quality control

On-site work

Experience with datasets

Education

Bachelor's degree

Tools

Annotation tools

Job description

Position Overview

Akkodis is seeking a – “Data Annotator” for a Contract position with a client located in Sunnyvale, California (Onsite).

Pay Range: $35 - $40/hr. The rate/salary may be negotiable based on experience, education, geographic location, and other factors.

We are looking for a highly skilled Data Annotator to join our AV labs team. In this role, you will be at the forefront of AI development, transforming raw sensor data into high-quality training sets for our self-driving algorithms. You will handle complex tasks ranging from 3D object detection to granular semantic segmentation and HD map annotation. The ideal candidate is a detail-oriented specialist who understands that the safety of autonomous systems starts with the precision of the data used to train them.

Responsibilities

• Annotate visual 3D data (LiDAR/Point Cloud) and 2D camera imagery using bounding boxes, cuboids, polygons, and pixel-level semantic segmentation.
• Identify, label, and classify objects and environmental details according to strict project instructions and taxonomies.
• Label static road features and traffic landmarks to assist in the creation of High-Definition (HD) maps.
• Conduct rigorous reviews of annotated data to ensure accuracy, consistency, and "pixel-perfect" quality.
• Work closely with engineers to refine labeling guidelines and improve model performance.
• Strictly follow project instructions and meet established deadlines and production KPIs without compromising on quality.
• Commit to ongoing education to stay updated on the latest developments in data management, AI/ML goals, and new annotation platforms.

Requirements

• Bachelor’s degree; familiar with 3D scenes or possesses 3+ years of relevant data annotation experience.
• Proven experience in data annotation specifically within the Autonomous Driving sector.
• Hands-on experience working with various 3D/2D annotation tools.
• Strong knowledge of computer basics, data management techniques, and data analysis platforms.
• A proven track record of finding subtle anomalies and following specific guidelines without subjective interpretation.
• Ability to understand the relationship between datasets and attributes to aid in complex 3D categorization.
• Mental agility and the ability to pivot quickly between different project types.
• Be comfortable with working on-site 5 days a week.

Equal Opportunity Employer/Veterans/Disabled

Benefit offerings available for our associates include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, an EAP program, commuter benefits, and a 401K plan. Our benefit offerings provide employees with the flexibility to choose the type of coverage that meets their individual needs. In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other paid leave required by Federal, State, or local law, as well as Holiday pay where applicable. Disclaimer: These benefit offerings do not apply to client-recruited jobs and jobs that are direct hires to a client.

To read our Candidate Privacy Information Statement, which explains how we will use your information, please visit https://www.akkodis.com/en/privacy-policy

The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable:

The California Fair Chance Act

Los Angeles City Fair Chance Ordinance

Los Angeles County Fair Chance Ordinance for Employers