2

No Experience Online Data Annotation Jobs (NOW HIRING)

Previous experience leading data annotation teams * Technical skills to build tools for data annotation * Ability to leverage AI to help improve productivity At Sunday Robotics, we're building ...

... experience leading data annotation teams • Technical skills to build tools for data annotation • Ability to leverage AI to help improve productivity Company : Sunday is a robotics and artificial ...

$20/hr

Data Annotation Generalist Contract Type: Hourly, Independent Contractor Location: Remote ... Experience with annotation tools or platforms used in AI development * Analytical mindset and ...

Preferred : • Prior experience in data annotation for autonomous driving, robotics, or computer vision. • Understanding of autonomous vehicle sensor modalities (LiDAR, Radar, Cameras). • ...

Prior experience in data annotation for autonomous driving, robotics, or computer vision. * Understanding of autonomous vehicle sensor modalities (LiDAR, Radar, Cameras). * Experience with 3D ...

Prior experience in data annotation for autonomous driving, robotics, or computer vision. * Understanding of autonomous vehicle sensor modalities (LiDAR, Radar, Cameras). * Experience with 3D ...

Data Annotation Technician Join Q Analysts and become part of a world-class organization. Q ... Experience in a related role * Experience in a role requiring usage of a variety of technology ...

next page

Showing results 1-20

No Experience Online Data Annotation information

What is the difference between No Experience Online Data Annotation vs Data Labeler?

AspectNo Experience Online Data AnnotationData Labeler
Required CredentialsNo experience needed, basic computer skillsTypically similar, no formal certifications required
Work EnvironmentRemote, online platform-basedRemote or on-site, depending on employer
Industry UsageCommon in AI training, machine learning projectsUsed in AI, computer vision, NLP tasks
Search & Comparison IntentHigh overlap, often compared for entry-level rolesRelated role, often confused with data annotation

Both No Experience Online Data Annotation and Data Labeler roles involve labeling data for AI models, often requiring minimal prior experience. The main difference lies in terminology; 'Data Labeler' is a more traditional term, while 'No Experience Online Data Annotation' emphasizes entry-level, remote work. Both roles are essential in AI development and share similar work environments and skill requirements.

More about No Experience Online Data Annotation jobs
What cities are hiring for No Experience Online Data Annotation jobs? Cities with the most No Experience Online Data Annotation job openings:
What are the most commonly searched types of Online Data Annotation jobs? The most popular types of Online Data Annotation jobs are:
What states have the most No Experience Online Data Annotation jobs? States with the most job openings for No Experience Online Data Annotation jobs include:
Infographic showing various No Experience Online Data Annotation job openings in the United States as of July 2026, with employment types broken down into 56% Full Time, and 44% Contract. Highlights an 67% In-person, and 33% Remote job distribution.
Data Annotation Lead

Data Annotation Lead

Sunday Inc

Redwood City, CA • On-site

Full-time

Re-posted 7 days ago


Job description

Join Us in Building the Future of Home Robotics
At Sunday, we're developing personal robots to reclaim the hours lost to repetitive tasks. We're focused on an ambitious goal to make generalized robots broadly accessible, enabling households to take back quality time.
We have spent the last 18 months building a talented team, securing capital, and validating our technology. We are now seeking passionate individuals to join us in the next phase of our growth. If you are ready to apply your skills to the forefront of robotics innovation, we'd love to hear from you.
What to Expect
We're looking for a Data Annotations Lead to join our Data team and own the people side of data annotation.
This role is about building and leading a world class in-house data annotation team that is able to pivot quickly to any research experiment while delivering on quality, quantity, and variety when it comes to data.
You'll work in coordination with Machine Learning, Software engineering, and Data to define the framework and tools on which to build a data annotation team around. Your role is vital to ensuring our data annotators are aligned with the guidances for annotations and are upholding a culture of happiness.
What You'll Do
  • Build a data annotation team
  • Manage the people side of data annotations
  • Create documentation
  • Be in the weeds and annotate data yourself anytime something new is being designed
  • Create data annotation processes
  • Vibe code data annotation tools during pilot stages

What You'll Bring
  • Clear written and verbal communication to guide our data annotators
  • Your ability to manage unexpected challenges
  • Your ownership of key stakeholders with data annotators, engineering, and support
  • Excitement for the growth and development of data annotation
  • Someone adept at prioritization of competing requests, who's able to move both quickly, and in an organized manner
  • A level of hardcore-ness while still treating people like people
  • Intermediate level understanding of ML

Nice to Have
  • Previous experience leading data annotation teams
  • Technical skills to build tools for data annotation
  • Ability to leverage AI to help improve productivity

At Sunday Robotics, we're building technology shaped by real people - curious, creative, and diverse. We're proud to be an equal opportunity employer and consider all qualified applicants regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
Even if you don't meet every single requirement, we encourage you to apply. Studies show that women and underrepresented groups often hold back unless they meet 100% of the criteria - we don't want that to be the reason we miss out on great talent.