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Data Annotation No Experience Jobs (NOW HIRING)

Data Annotator for AI Models (Italian)

$56 - $72.75/hr

... experience with data annotation tasks. Company : RWS is a global AI solutions company empowering ... the world's most trusted enterprise AI. Founded in 1958, the company is headquartered in Slough ...

This is a great opportunity to gain hands-on experience in AI data annotation within a structured, quality-focused environment. The role offers consistent weekday hours, clear expectations, project ...

CA · On-site

$26 - $29/wk

Experience: 2+ years of equivalent machining and programming experience in a related industry required. * Education: High School Diploma or equivalent required (2-year Machining Degree preferred)

The ideal candidate will have strong experience in AI/ML systems, including RAG architectures ... Collaborate with data science and platform teams to deploy scalable AI solutions. Annotate and ...

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Data Annotation No Experience information

Can you work for data annotation with no experience?

Data annotation jobs often do not require prior experience, making them accessible to beginners. Basic computer skills and attention to detail are usually sufficient, and training is often provided. However, some roles may prefer familiarity with specific tools or platforms.

How to start a data annotation job?

To start a data annotation job, you should gain basic knowledge of annotation tools and techniques, such as labeling images, text, or audio data. Many companies offer online platforms where you can sign up and complete training or qualification tests. Having attention to detail and familiarity with common data formats can improve your chances of getting hired and performing well in this role.

Does data annotation actually pay?

Data annotation jobs typically pay hourly or per task rates, with earnings varying based on the platform, complexity of the work, and experience. Entry-level data annotation roles often pay between minimum wage and $15 per hour, and some platforms offer bonuses or incentives for accuracy and speed. Payment is usually processed weekly or biweekly through direct deposit or platform accounts.

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

AspectData Annotation No ExperienceData Labeler
Required CredentialsMinimal or no formal credentialsTypically similar, minimal requirements
Work EnvironmentRemote or office-based, flexible hoursRemote or onsite, often part-time
Industry UsageCommon in AI/ML projects, tech companiesUsed in AI training, data processing
Search & Comparison IntentYesYes

Data Annotation No Experience and Data Labeler roles are closely related, often overlapping in responsibilities and industry usage. Both involve labeling data for AI models, with minimal prior experience required. The main difference lies in terminology; 'Data Labeler' is a more specific job title, while 'Data Annotation No Experience' emphasizes entry-level status. Both roles are suitable for those starting in AI data preparation and typically offer flexible work environments.

Is it hard to get hired for data annotation?

Getting hired for a data annotation role typically does not require prior experience, as many companies offer entry-level positions that focus on basic attention to detail and understanding of instructions. Candidates often need to complete simple assessments or training, and familiarity with tools like annotation platforms can be helpful. Overall, the job is accessible to beginners with minimal requirements.
What are the most commonly searched types of Data Annotation jobs? The most popular types of Data Annotation jobs are:
Data Annotator / Data Labeling Specialist

Data Annotator / Data Labeling Specialist

Tata Consultancy Services

Charlotte, NC • On-site

$17.25 - $22.50/hr

Full-time

Posted 23 days ago


Tata Consultancy Services rating

6.5

Company rating: 6.5 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

158th of 207 rated it services


Job description

Job Summary:
Tata Consultancy Services is seeking a Data Annotator / Data Labeling Specialist to join their team. The role involves accurately labeling various types of data, performing quality checks, and collaborating with engineers to improve labeling frameworks while adhering to project-specific guidelines.
Responsibilities:
• Accurately label text, image, audio, or structured data based on project-specific guidelines.
• Follow annotation taxonomy and definitions consistently across tasks and datasets.
• Perform quality checks, resolve ambiguities, and flag edge cases for guideline refinement.
• Meet productivity and accuracy SLAs while maintaining high attention to detail.
• Use annotation tools/platforms effectively and report tool or data issues promptly.
• Participate in calibration sessions to align with reviewers and improve inter-annotator agreement.
• Document annotation decisions and examples to support standardization and training.
• Rework rejected samples based on QA feedback and maintain continuous quality improvement.
• Handle sensitive/confidential data according to privacy and security policies.
• Track task progress, throughput, and quality metrics in assigned dashboards.
• Collaborate with ML engineers and linguists/domain experts to improve labeling frameworks.
• Support dataset curation activities such as deduplication, filtering, and metadata tagging.
• Basic understanding of data annotation tools (Labelbox, CVAT, VGG, etc.)
• Familiarity with:
• Image annotation
• NLP data labeling
• Data categorization techniques
• Basic computer skills (Excel, Google Sheets)
• Ability to follow structured guidelines precisely.
Qualifications:
Required:
• Data Annotator / Data Labeling Specialist
• Agile concepts
• CI/CD
• 10+ years’ experience
• Accurately label text, image, audio, or structured data based on project-specific guidelines.
• Follow annotation taxonomy and definitions consistently across tasks and datasets.
• Perform quality checks, resolve ambiguities, and flag edge cases for guideline refinement.
• Meet productivity and accuracy SLAs while maintaining high attention to detail.
• Use annotation tools/platforms effectively and report tool or data issues promptly.
• Participate in calibration sessions to align with reviewers and improve inter-annotator agreement.
• Document annotation decisions and examples to support standardization and training.
• Rework rejected samples based on QA feedback and maintain continuous quality improvement.
• Handle sensitive/confidential data according to privacy and security policies.
• Track task progress, throughput, and quality metrics in assigned dashboards.
• Collaborate with ML engineers and linguists/domain experts to improve labeling frameworks.
• Support dataset curation activities such as deduplication, filtering, and metadata tagging.
• Basic understanding of data annotation tools (Labelbox, CVAT, VGG, etc.)
• Familiarity with image annotation
• Familiarity with NLP data labeling
• Familiarity with data categorization techniques
• Basic computer skills (Excel, Google Sheets)
• Ability to follow structured guidelines precisely
• Proactive and result-oriented leader, adept in mentoring and motivating the dynamic team to exemplary performance.
• Strong communication, collaboration, and team building skills with proficiency in grasping new technical concepts quickly.
• BACHELOR OF COMPUTER SCIENCE
Company:
Tata Consultancy Services is a business solutions company that specializes on information technology services and consulting. It is a sub-organization of Tata Group. Founded in 1968, the company is headquartered in Mumbai, IND, with a team of 10001+ employees. The company is currently Late Stage.

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About Tata Consultancy Services

Sourced by ZipRecruiter

Tata Consultancy Services is an IT services, consulting and business solutions organization that delivers real results to global business, ensuring a level of certainty no other firm can match. TCS offers a consulting-led, integrated portfolio of IT, BPO, infrastructure, engineering, and assurance services. This is delivered through its unique Global Network Delivery Model™, recognized as the benchmark of excellence in software development. TCS delivers a level of certainty that no other firm can match--to our clients and to our employees. Come join us and experience certainty in your career. TCS a global Consulting and IT Services firm that is ranked in the top quartile by industry analysts. Our 2021 fiscal revenues topped $25 B and our market capitalization is over $170+B, yet we have a deep and large history of philanthropy and corporate social responsibility. Now approaching 600K of the best IT professionals and consultants, we are a trusted advisor, guiding our clients' enterprises through growth and transformation journeys - helping them to become agile, intelligent, automated and on the cloud. We are devoted to DEI and are recognized as a top employer and place to work.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Edison, NJ, US