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Entry Level Ai Data Annotation Jobs (NOW HIRING)

About the job Mercor connects elite creative and technical talent with leading AI research labs ... Position: Network Engineer - Data for Autonomous Systems annotation Type: Contract Compensation ...

Experience with large-scale AI data annotation or evaluation programs. * Background in QA, operations, trust & safety, or structured review work. * Familiarity with multi-step rubric-based ...

Data Annotator

New York, NY ยท Remote

$50/hr

Experience with large-scale AI data annotation or evaluation programs. * Background in QA, operations, trust & safety, or structured review work. * Familiarity with multi-step rubric-based ...

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...

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Entry Level Ai Data Annotation information

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How much do entry level ai data annotation jobs pay per hour?

As of Jun 11, 2026, the average hourly pay for entry level ai data annotation in the United States is $20.24, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $21.88 per hour, depending on experience, location, and employer.

What is an Entry Level AI Data Annotation job?

An Entry Level AI Data Annotation job involves labeling and categorizing data such as images, text, audio, or video to help train artificial intelligence (AI) and machine learning models. Annotators follow specific guidelines to tag data accurately, ensuring that AI systems learn to recognize patterns correctly. These positions typically require attention to detail, basic computer skills, and the ability to follow instructions. No advanced technical knowledge is usually required, making it a great way to start a career in the AI or tech industry.

How much do AI data annotators make?

AI data annotators typically earn between $12 and $20 per hour, depending on experience, location, and the complexity of the annotation tasks. Entry-level positions often pay closer to the lower end of this range, and some roles may offer project-based or part-time pay structures.

What are some common challenges faced by entry-level AI data annotation specialists, and how can they be addressed?

Entry-level AI data annotation specialists often encounter challenges such as maintaining consistency and accuracy while labeling large volumes of data, understanding nuanced instructions, and adapting to changing project requirements. These challenges can be addressed by actively seeking clarification from team leads, participating in training sessions, and regularly reviewing annotation guidelines. Collaborating with teammates and using quality assurance feedback also helps improve accuracy and ensures alignment with project standards.

Can I get an AI job with no experience?

Entry level AI data annotation roles typically do not require prior experience, as they focus on labeling data to train AI models. Basic computer skills, attention to detail, and familiarity with annotation tools are often sufficient to start. Gaining knowledge of AI concepts or tools can improve job prospects but is not always mandatory for entry-level positions.

Can I do data annotation with no experience?

Entry level AI data annotation jobs typically do not require prior experience, as training is often provided to teach specific tools and guidelines. Basic computer skills and attention to detail are usually sufficient to start, making it accessible for beginners. Developing familiarity with annotation tools and understanding data labeling standards can improve job performance and opportunities for advancement.

How to become an AI data annotator?

To become an AI data annotator, you typically need strong attention to detail, basic computer skills, and familiarity with annotation tools or platforms. Many roles are entry-level and may require a high school diploma or equivalent, with some positions offering training. Developing skills in data labeling, understanding of AI concepts, and the ability to work efficiently can improve job prospects.

What are the key skills and qualifications needed to thrive as an Entry Level AI Data Annotation Specialist, and why are they important?

To thrive as an Entry Level AI Data Annotation Specialist, attention to detail, basic computer literacy, and a high school diploma or equivalent are typically required. Familiarity with data labeling platforms, annotation tools, and spreadsheet software is often expected. Strong organizational skills, focus, and the ability to work independently help individuals excel in this role. These skills ensure accurate and efficient data labeling, which is crucial for developing reliable AI and machine learning models.
More about Entry Level Ai Data Annotation jobs
What cities are hiring for Entry Level Ai Data Annotation jobs? Cities with the most Entry Level Ai Data Annotation job openings:
What are the most commonly searched types of Ai Data Annotation jobs? The most popular types of Ai Data Annotation jobs are:
What states have the most Entry Level Ai Data Annotation jobs? States with the most job openings for Entry Level Ai Data Annotation jobs include:
Infographic showing various Entry Level Ai Data Annotation job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 94% Full Time, 4% Part Time, and 1% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $42,098 per year, or $20.2 per hour.

Network Engineer - Data Annotation

Mercor

New York, NY โ€ข Remote

$50 - $70/hr

Full-time

Posted 3 days ago


Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Network Engineer - Data for Autonomous Systems annotation
Type: Contract
Compensation: $50โ€“$70/hour
Location: Remote
Commitment: 30โ€“40 hours/week

Role Responsibilities

  • Review real-world data from deployed networks, including logs, configs, telemetry, and event streams.
  • Label and classify key behaviors, issues, and anomalies in network data.
  • Help define schemas and structure for large-scale data pipelines.
  • Interface directly with the client team to ensure data quality and relevance.
  • Work independently and asynchronously to meet deadlines and improve AI model performance.

Qualifications

Must-Have

  • Experience working as a network engineer, ideally with enterprise networks (switches, APs, firewalls, etc.).
  • Comfort with interpreting logs, events, and time-series metrics.
  • Curiosity about how raw infrastructure data becomes machine learning input.

Application Process (Takes 20โ€“30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.