ZipRecruiter

Log In

2

No Experience Machine Learning Data Annotation Jobs

previous pagenext page

Showing results 21-40

All JobsTechnology JobsData JobsData Scientist JobsNo Experience Machine Learning Data Annotation Jobs

No Experience Machine Learning Data Annotation information

See salary details

$37.5K

$122.7K

$196.5K

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

As of Aug 29, 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 is a no experience machine learning data annotation job?

'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 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 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.

More about No Experience Machine Learning Data Annotation jobs

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:

What job categories do people searching No Experience Machine Learning Data Annotation jobs look for?

The top searched job categories for No Experience Machine Learning Data Annotation jobs are:

No Experience Machine Learning Data Annotation jobs near you
Infographic showing various No Experience Machine Learning Data Annotation job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 18% Part Time, and 4% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

AI Training Specialist - Japanese Linguist

Manhattan, NY • On-site

BAM Ventures
Investment Clubs and Venture Capital Companies • 1 - 10 employees
Learn more about BAM Venturesexternal

$70 - $90/hr

Other

Posted 10 days ago

Job description

About Rise Data Labs

Rise Data Labs is a leading AI training and data annotation company that specializes in creating high-quality training data for artificial intelligence systems. We work with top AI companies and research institutions to improve machine learning models through expert human annotation and validation.

Our team of domain specialists, subject matter experts, and quality assurance professionals work across various fields including economics, finance, psychology, computer science, business, mathematics, chemistry, physics, and engineering. We pride ourselves on our attention to detail, domain expertise, and commitment to delivering accurate, high-quality training data.

At Rise Data Labs, we believe in the power of human expertise to enhance AI capabilities. We offer our team members the opportunity to work on cutting-edge AI projects while contributing their specialized knowledge to advance the field of artificial intelligence. Our flexible, remote-first approach allows experts from around the world to participate in shaping the future of AI.

Job Overview

We are seeking a detail-oriented AI Training Specialist fluent in Japanese to join our team at Rise Data Labs. In this role, you will leverage your linguistic expertise and attention to detail to train and improve AI models through data annotation and labeling. You will play a crucial role in reviewing and validating AI-generated content for accuracy, ensuring high-quality data for machine learning applications.

Key Responsibilities
  • Annotate and label data sets to train AI models effectively.
  • Review AI-generated content for accuracy and relevance.
  • Provide domain expertise to enhance AI model performance.
  • Collaborate on various AI training projects across different fields.
  • Ensure high-quality data for machine learning applications.
Required Skills and Qualifications
  • Fluency in Japanese (both written and spoken).
  • Strong attention to detail and commitment to quality assurance.
  • Experience with data annotation and AI training processes.
  • Ability to work independently and manage time effectively.
  • Basic understanding of machine learning concepts.
Preferred Qualifications
  • Experience in linguistics or language processing.
  • Familiarity with AI tools and software.
  • Previous experience in a similar role within the tech industry.
What We Offer

At Rise Data Labs, we value our employees and offer competitive compensation, flexible working hours, and opportunities for professional growth. Join us and be part of a dynamic team dedicated to advancing AI technologies!

#J-18808-Ljbffr
BAM Ventures logo

About BAM Ventures

Sourced by ZipRecruiter

Industry

Investment clubs and venture capital companies

Company size

1 - 10 Employees

Headquarters location

Santa Monica, CA, US

Year founded

2014

View All BAM Ventures Jobs

Apply