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Data Annotation No Experience Needed Jobs (NOW HIRING)

Dyna Robotics

Data Annotation Specialist

As a Data Annotation Specialist, you will be pivotal in iterating on our AI system by annotating ... Required : • Associate's or Bachelor's degree (or equivalent experience) • Strong attention to ...

CaseGuard

Data Annotation Specialist

Arlington, VA

$40K - $50K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

We are seeking a detail-oriented Data Entry to support data preparation initiatives. This role is ... needs in one easy-to-use redaction software. CaseGuard Studio is one of its kind. Our team is ...

Apex Systems

AI Data Annotation Specialist

Boca Raton, FL · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Experience in data annotation and labeling. * Strong attention to detail and ability to follow ... and that no other inquiries will be answered. UnitedHealthcare creates and publishes the ...

Expert Technology Services

Data Annotator

Irving, TX · On-site

Required Skills & Qualifications: - 1+ year experience in data annotation, labeling, or QA for computer vision, robotics, or autonomous systems. - Experience working with 3D spatial data (LiDAR ...

Home Instead

Caregiver - No Experience Needed

Sparks, NV · On-site

$17 - $17.50/hr

  • Medical

  • Dental

  • Vision

  • Retirement

... 24/7 support from our experienced office team * Industry-leading caregiver technology and ... client needs, schedule management, and earnings tracking. Requirements * Must have three ...

Home Instead

Caregiver - No Experience Needed

Sewickley, PA · On-site

$15 - $18/hr

  • Medical

  • Dental

  • Vision

  • Retirement

At Home Instead , we'll give you the tools, training, and support you need to succeed as a Caregiver . Whether you're experienced or brand new to professional home care, our team is here to help you ...

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Data Annotation No Experience Needed information

What is data annotation?

Data annotation is the process of labeling or tagging data, such as images, text, or audio, to help train artificial intelligence and machine learning models. Many data annotation jobs require little to no prior experience, as employers often provide training on the specific tools and guidelines needed for the work. These jobs are ideal for beginners looking to enter the tech field, as they typically require attention to detail and basic computer skills. With consistent work, data annotators can build valuable experience for more advanced roles in data science and AI.

What does a typical workday look like for someone starting out in data annotation with no prior experience?

For those new to data annotation, a typical workday involves reviewing and labeling large sets of data—such as images, audio, or text—according to specific guidelines provided by the employer or client. You’ll likely work as part of a remote or distributed team, using specialized software tools to complete your tasks. While the work is often independent, you may participate in occasional team meetings or training sessions to clarify guidelines and improve accuracy. Consistency and attention to detail are crucial, and feedback from supervisors will help you refine your skills. Over time, demonstrating accuracy and reliability can open opportunities for more complex projects or advancement within the team.

What are the key skills and qualifications needed to thrive as a data annotation specialist with no prior experience?

To thrive as a Data Annotation specialist with no prior experience, attention to detail, basic computer literacy, and the ability to follow guidelines are essential. Familiarity with annotation tools or platforms (such as Labelbox or SuperAnnotate) and basic understanding of data privacy protocols are often required. Strong organizational skills, patience, and clear communication help individuals excel in repetitive tasks and collaborate with team members or project leads. These skills and qualities are critical for maintaining high data quality and ensuring annotated datasets are accurate for downstream machine learning applications.

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

AspectData Annotation No Experience NeededData Labeler
Required CredentialsNo prior experience or certifications typically requiredOften similar, minimal credentials needed
Work EnvironmentRemote or office-based, flexible hoursPrimarily remote, task-based work
Industry UsageCommon in AI, machine learning, and data processing companiesUsed in AI, autonomous vehicles, and tech sectors
Search & Comparison IntentPeople seeking entry-level data annotation rolesIndividuals comparing entry-level data labeling jobs

Data Annotation No Experience Needed and Data Labeler roles are similar, both requiring minimal or no prior experience. They are commonly found in AI and machine learning industries, often offering remote work. The main difference lies in terminology; 'Data Labeler' is a more specific job title within data annotation tasks. Both roles are suitable for beginners looking to start a career in data processing and AI training.

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Data Annotation No Experience Needed jobs near you
Infographic showing various Data Annotation No Experience Needed job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 19% Part Time, and 4% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution.

Data Annotation Specialist

Dyna Robotics

Remote

Full-time

Re-posted 4 days ago

Job description

Job Summary:
Dyna Robotics is at the forefront of revolutionizing robotic manipulation with cutting-edge foundation models. As a Data Annotation Specialist, you will be pivotal in iterating on our AI system by annotating data on various tasks performed by robots, directly influencing the performance of robotic arms.
Responsibilities:
• Manually annotate video sequences (boxes/masks/keypoints), track IDs, and label actions & temporal segments
• Maintain data integrity by applying guidelines and QC checks; resolve ambiguities and fix errors
• Leverage pre-annotation/autolabeling tools to boost throughput—validate/correct model prelabels and tune auto-tracking/segmentation pipelines
Qualifications:
Required:
• Associate’s or Bachelor’s degree (or equivalent experience)
• Strong attention to detail; consistent application of guidelines
• Ability to follow detailed instructions and work independently with minimal supervision
• Clear written communication and a collaborative attitude
Preferred:
• Hands-on experience annotating video (boxes/masks/keypoints, action labels, ID tracking)
• Proficiency with annotation tools; comfort with pre-annotation/autolabel review and correction
• Familiarity with QA practices (inter-annotator agreement, spot checks, golden sets)
• Knowledge of common annotation formats (e.g., COCO, YOLO, MOT/KITTI) and basic video concepts (frame rate, codecs)
Company:
Dyna Robotics develops advanced robotic manipulation models to automate repetitive and stationary tasks. Founded in 2024, the company is headquartered in Redwood City, USA, with a team of 11-50 employees. The company is currently Early Stage.

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