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No Experience Machine Learning Data Annotation Jobs

NTENT

Machine Learning Engineer

Carlsbad, CA · On-site

Coordinate data collection and annotation efforts. * Work with real-time data and content coming ... Experience in other programming languages (eg. Java, R, Haskell) a plus. * Solid knowledge of ...

NTENT

Machine Learning Engineer

Carlsbad, CA

Coordinate data collection and annotation efforts. * Work with real-time data and content coming ... Experience in other programming languages (eg. Java, R, Haskell) a plus. * Solid knowledge of ...

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Data Annotator (Autonomous Vehicle / AI)

San Francisco, CA · On-site

$32 - $39/hr

... to power machine learning models. This position plays a critical role in ensuring the safety ... Hands-on experience with 2D and 3D annotation tools and platforms * Strong understanding of data ...

Apple

Machine Learning - Data Scientist

Sunnyvale, CA · On-site

... Data Analytics and Quality group is seeking an expert in evaluating machine learning and deep ... Hands-on experience evaluating LLMs and using them as scoring/judging mechanisms. Familiarity with ...

Amazon

Catalog Specialist, RCX

Bellevue, WA · On-site

We are hiring an experienced Catalog Specialist to help us grow our business in innovative ways. In ... Machine Learning (ML) models • Perform data annotation required to train and evaluate ML models ...

ENSCO, Inc.

Machine Learning Engineer

Melbourne, FL · On-site

Minimum of 3 years related industry experience in machine learning, data science, and analytics. Proven track record of successful data science and algorithm implementation. Provide mentorship to ...

TSMG

AI/ML Data Contributor

Los Angeles, CA · Remote

Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative ...

TSMG

AI/ML Data Contributor

Birmingham, AL · On-site

Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative ...

TSMG

AI/ML Data Contributor

Columbia, SC

Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative ...

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All JobsNo Experience Machine Learning Data Annotation Jobs

No Experience Machine Learning Data Annotation information

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$37.5K

$122.7K

$196.5K

How much do no experience machine learning data annotation jobs pay per year?

As of Jun 25, 2026, the average yearly pay for no experience machine learning data annotation in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

Can I get an AI job with no experience?

Entry-level machine learning data annotation roles often do not require prior experience, as they focus on labeling data to train AI models. Basic computer skills, attention to detail, and understanding of data formats are typically sufficient to start, and some companies offer training or onboarding programs for beginners.

What should I expect when collaborating with machine learning engineers as a data annotator with no prior experience?

As a data annotator working alongside machine learning engineers, you will play a vital role in preparing high-quality labeled data for model training. Engineers often provide clear guidelines and feedback on how to label or categorize data accurately, and they may hold regular check-ins to address questions and ensure consistency. While you may not need technical expertise, strong communication and attention to detail are essential, as your work directly impacts the performance of machine learning models. Over time, you’ll become familiar with annotation tools and may have the opportunity to take on more advanced tasks or quality assurance responsibilities.

What are 'No Experience Machine Learning Data Annotation' jobs?

'No Experience Machine Learning Data Annotation' jobs are entry-level positions where individuals help label and categorize data used to train machine learning models. These roles do not require prior experience in data science or programming, making them accessible to beginners. Typical tasks may include tagging images, transcribing audio, or identifying objects in videos. These jobs are essential for improving the accuracy of AI systems and are often done remotely or on a flexible schedule.

Is it hard to get hired for data annotation?

Getting hired for a data annotation role with no experience is generally accessible, as many companies offer entry-level positions that require basic computer skills and attention to detail. Candidates often complete simple training or tutorials, and the job typically involves straightforward tasks using annotation tools. While competition exists, building a strong attention to detail and familiarity with annotation platforms can improve chances of employment.

Do I need coding experience for data annotation?

For a no experience machine learning data annotation role, coding experience is generally not required, as the job involves labeling data such as images, text, or audio using user-friendly tools. Basic computer skills and attention to detail are more important, though some tasks may benefit from familiarity with simple software or platforms. Coding skills are typically not necessary for entry-level annotation positions.

What are the key skills and qualifications needed to thrive as a No Experience Machine Learning Data Annotation Specialist, and why are they important?

To succeed in a No Experience Machine Learning Data Annotation role, you need strong attention to detail, basic computer literacy, and the ability to follow precise instructions, often requiring at least a high school diploma. Familiarity with data labeling tools (like Labelbox or Supervisely) and experience with spreadsheet software are typically helpful, though many positions offer on-the-job training. Reliability, patience, and effective communication are valuable soft skills for maintaining quality and meeting deadlines. These skills ensure accurate, consistent data labeling, which is critical for training reliable machine learning models.

What is the difference between No Experience Machine Learning Data Annotation vs Data Labeling Specialist?

AspectNo Experience Machine Learning Data AnnotationData Labeling Specialist
Required CredentialsNo formal experience needed, training providedTypically similar, may require basic technical skills
Work EnvironmentRemote or office-based, repetitive tasksRemote or onsite, focused on data preparation
Industry UsageCommon in AI/ML companies, tech startupsUsed across tech, automotive, healthcare sectors
Search & Comparison IntentOften searched by beginners or entry-level job seekersCompared for skill requirements and job scope

Both roles involve labeling data for machine learning models, with minimal experience required. Data Labeling Specialists may have slightly more specialized tasks, but both are entry-level positions vital for AI development.

Can you work for data annotation with no experience?

No experience data annotation roles are often entry-level and may not require prior skills, but basic computer literacy and attention to detail are usually necessary. Training is typically provided, and familiarity with annotation tools can be helpful for efficiency. Having some understanding of data labeling standards can improve job performance and opportunities for advancement.
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No Experience Machine Learning Data Annotation jobs near you
Spanish Data Annotator Specialist (Based in NY)

Spanish Data Annotator Specialist (Based in NY)

Welo Data

Jacksonville, FL

$28/hr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 24 days ago

Job description

OVERVIEW

We are seeking a QA Analyst - Data Annotation Specialist to contribute to a high-profile technology project. The ideal candidate will have a foundational understanding of quality assurance, data annotation, and data handling. Additionally, they must be fully proficient in English (U.S.) and Spanish (Spain) and possess excellent communication skills. They will play a pivotal role in ensuring the quality and accuracy of the project data.

Project Details

Job Title: QA Analyst - Data Annotation Specialist

Location: On-site at one of our offices office in South Bay, CA (Menlo Park or Sunnyvale)

Hours: 40 hours weekly

Language: Spanish (Spain)

Start date: Mid-January 2025

Employment Type: W-2 Contract

Duration: At least 12 months (with potential for extension)

Pay rate: $28/Hour

Must have valid work authorization in the US (We do not sponsor VISAs at this time)

Responsibilities

    • Conduct data annotation and QA
    • Collaborate with team members on-site
    • Ensure secure handling of data and maintain confidentiality

Requirements

    • Proficiency in English (US) and Spanish (Spain) at a fully fluent level is required.
    • At least 1-2 years of data annotation experience
    • Visual annotation experience is a plus (Video & Image)
    • Experience in quality assurance
    • Excellent communication skills
    • Augmented Reality experience is a plus
    • No technical skills needed, but a linguistic background and/or formal QA experience is required
    • Ability to work 100% on-site
    • Strong attention to detail and problem-solving skills

Benefits

    • Paid Sick Time
    • Employee Assistance Program  
    • Following eligibility requirements: Medical Insurance
    • Dental Insurance
    • Vision Insurance
    • HSA
    • Voluntary Life Insurance
    • Accident, Critical Illness, Hospital Indemnity Insurance
    • 401(k) Retirement Plan

$28 - $28 an hour

Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.

To know more details (Click here)

In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.  In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program.

As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.

Working at Welo Data

What to expect from working at Welo Data

From Welo Data

About Welo Data, in their own words

From Welo Data

Welo Data is a global AI data services company powering the next generation of AI. We build, annotate, and validate the training datasets that make AI models accurate, safe, and ready for the real world — across languages, cultures, and domains.

Our team of experts spans the globe, combining deep technical knowledge with a human-centered approach. If you want your work to shape how AI understands the world, you'll find your place here.

Diversity and inclusion statement

From Welo Data

Our Strength is derived from Winning Together. Welo Data is unequivocally committed to developing and fostering a workplace and organizational culture that values the diversity of thought and perspective delivered by a diverse global workforce operating within an inclusive organization.