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No Experience Machine Learning Data Annotation Jobs

Apple

Machine Learning - Data Scientist

Sunnyvale, CA

$147.40K - $272.10K/yr

... Data Analytics and Quality group is seeking an expert in evaluating machine learning and deep ... Experience evaluating generative models (e.g., text generation, image generation). Prior ...

Rime Labs

Machine Learning Engineer, Data

San Francisco, CA · On-site

$134.90K - $162K/yr

End-to-end audio annotation pipeline : Currently some stages exist as prototypes; productionizing ... Nice to have * Multilingual data pipeline experience. * Audio DSP, signal processing, or speech ...

Cohere

Data Annotation Specialist, Safety

New York, NY · On-site

Machines (or Large Language Models to be exact) learn in similar ways to humans: by way of feedback ... Experience applying detailed guidelines to complex and sensitive content, with strong contextual ...

ENSCO, Inc.

Machine Learning Engineer

Cocoa Beach, 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

Birmingham, AL

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

Des Moines, IA · 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 ...

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No Experience Machine Learning Data Annotation information

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

As of May 30, 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.

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 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.

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.

What cities are hiring for No Experience Machine Learning Data Annotation jobs? Cities with the most No Experience Machine Learning Data Annotation job openings:
What are the most commonly searched types of Machine Learning Data Annotation jobs? The most popular types of Machine Learning Data Annotation jobs are:
What states have the most No Experience Machine Learning Data Annotation jobs? States with the most job openings for No Experience Machine Learning Data Annotation jobs include:
No Experience Machine Learning Data Annotation jobs near you
Generative AI Analyst (Chinese zh-CN) - Onsite | San Jose, CA

Generative AI Analyst (Chinese zh-CN) - Onsite | San Jose, CA

Welo Data

San Jose, CA • On-site

$136.50K/yr

Full-time

Posted 3 days ago

Job description

Job Summary:
Welo Data is seeking highly detail-oriented Generative AI Analysts to join their team onsite in San Jose, California. The role involves supporting the annotation, evaluation, and quality review of multilingual and multimodal datasets used to train generative AI systems, with a strong focus on Chinese language proficiency.
Responsibilities:
• Perform annotation and labeling tasks for Chinese generative AI datasets, including text, image, video, audio, and multimodal content
• Review and evaluate AI-generated prompts and responses across a variety of topics and use cases
• Conduct quality assurance checks to ensure accuracy, consistency, and compliance with annotation guidelines
• Identify edge cases, inconsistencies, and quality issues in datasets and model outputs
• Support data categorization, tagging, evaluation, and content review workflows for machine learning systems
• Assist in the creation and refinement of annotation guidelines and evaluation frameworks
• Collaborate with cross-functional teams to improve operational processes and annotation quality
• Provide feedback on tools, workflows, and annotation methodologies
Qualifications:
Required:
• Native-level proficiency in Chinese and strong English communication skills (written and verbal)
• Excellent attention to detail and ability to follow complex guidelines and processes
• Strong interest in generative AI, machine learning, and emerging technologies
• Bachelor’s degree or equivalent practical experience
• Ability to work onsite full-time in San Jose, CA
Preferred:
• Previous experience in data annotation, content review, quality assurance, or labeling operations
• Experience or academic background in Finance, STEM, Legal, Medical, Coding, or other specialized fields
• Familiarity with generative AI systems, LLMs, RLHF, or multimodal AI workflows
• Experience evaluating prompts, responses, images, videos, or AI training datasets
• QA/testing experience within AI, data operations, or content moderation environments
• Experience with taxonomy creation, evaluation rubrics, or dataset quality initiatives
• Python or scripting knowledge
• Additional language proficiency is a plus (Korean, Japanese, Mandarin, Spanish, German, French, etc.)
Company:
With 27+ years of experience, Welo Data is the human-centered infrastructure for globally effective AI. Founded in , the company is headquartered in , , with a team of 1001-5000 employees. The company is currently Late Stage.

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