(Part-Time) Data Annotator – AI Model Training at Seyond

Sunnyvale, California, United States -

Full Time

Start Date

Immediate

Expiry Date

03 Jun, 26

Salary

35.0

Posted On

05 Mar, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Preparation, Data Slicing, Annotation, Classification, Quality Check, Spreadsheets, MS Office, Browser-based Software Tools, Attention To Detail, Time Management, Diligence, Communication, Problem-solving, Adaptability, LiDAR, 3D Visualization

Industry

electrical;Appliances;and Electronics Manufacturing

Description

Who is Seyond? Seyond is a leading global provider of image-grade LiDAR technology, powering a safer, smarter and more mobile world across the automotive, intelligent transportation, robotics and industrial automation sectors. Founded in Silicon Valley with strategically placed research and manufacturing facilities across the globe, Seyond is crafting LiDAR solutions that elevate autonomous driving and fuel the advancement of smart infrastructure development. Our dynamic portfolio – including ultra-long range flagship LiDAR sensor Falcon, mid-to-short range LiDAR sensor Robin and perception service software platform OmniVidi – powers automotive and ITS solutions for partners like NIO, Faraday Future, Exwayz and Hexagon. Currently, over 200,000 Falcon units are in use, and the product continues to be mass-produced today. Job Summary As a Data Annotator, you will play a key role in training and improving our AI models. You’ll be responsible for carefully preparing, slicing, and labeling LiDAR point cloud data, ensuring that every object is annotated accurately and consistently. This role is ideal for individuals who are detail-oriented, comfortable with structured tasks, and eager to contribute to cutting-edge AI development. How will you make an impact? Data Preparation: Upload raw data into our data management system. Organize and prepare datasets for annotation. Data Slicing: Slice point cloud data into frames based on provided timestamps. Transfer prepared data into the Smart Labeling System. Annotation & Classification: Assign object classes in 3D point cloud frames (e.g., car, bus, pedestrian). Adjust object bounding boxes, dimensions, and heading directions. Record progress and report completed frames for review. Review & Quality Check: Verify accuracy of annotated objects (class, size, heading). Submit finalized frames for model training. What qualifications and skills will make you succeed in this role? Technical skills: Comfortable with spreadsheets, MS Office, and browser-based software tools. Attention to detail: Able to spot small differences and inconsistencies in 3D data. Time management: Work efficiently while maintaining high accuracy. Diligence: Commit to consistent annotation work within set schedules. Communication: Able to document progress, report issues, and collaborate with colleagues clearly. Problem-solving skills: Proactively flag unusual data or system issues. Adaptability: Willingness to learn new tools and workflows quickly. (Preferred) Familiarity with LiDAR or 3D visualization tools. What core values will you add at Seyond? Emerging: We embrace the challenges with the opportunities as we shape our future together. Dynamic: It is the combination of each member’s energy, innovative spirit, open-mindedness, creativity, and unique experience that give us our dynamic edge. Genuine: We keep it real – be it with our customers, our partners, or each other. We are dedicated to being honest and collaborative in all that we do. Excellence: We continuously strive for higher performance, higher quality, higher precision, and higher safety. Where is this role located? This role is located in Sunnyvale, CA. Candidate must live in/near Sunnyvale, CA. What is the pay range? This is a part-time hourly role, and the hourly rate range is $25-35. Seyond, Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), gender identity, national origin, ancestry, citizenship, age, physical or mental disability, legally protected medical condition, family care status, military or veteran status, marital status, domestic partner status, sexual orientation, or any other basis protected by local, state, or federal laws. Employment at Seyond is contingent upon proof of your legal right to work in the United States under applicable law, verification of satisfactory references and successful completion of a background check, and signing all your on-boarding documents. Seyond takes data privacy and identity theft very seriously. As such, we do not request personally-identifiable information (PII) from applicants over the internet or electronically. Please kindly refrain from disclosing your PII electronically during the application process or to unauthorized websites that may purport to be Seyond or any of our affiliates.

Responsibilities

The Data Annotator will be responsible for preparing, slicing, and labeling LiDAR point cloud data to train and improve AI models, ensuring accurate and consistent annotation of objects within 3D frames. This includes uploading raw data, organizing datasets, adjusting bounding boxes, and verifying the accuracy of finalized frames for model training.