Role overview We are looking for detail-oriented professionals based in the United States to support AI model improvement through high-quality data review, annotation, classification, and validation.
Role overview We are looking for detail-oriented professionals based in the United States to support AI model improvement through high-quality data review, annotation, classification, and validation.
$15.50 - $20/hr
Opportunity to contribute to multilingual AI and language technology projects. * Entry-level opportunity for candidates looking to build experience in transcription review and annotation.
$15.50 - $20/hr
Opportunity to contribute to multilingual AI and language technology projects. * Entry-level opportunity for candidates looking to build experience in transcription review and annotation.
Seeking entry level data specialists/IT for a robotics/AI company. Fresh graduates are encouraged to apply. Responsibilities * Use proprietary annotation tools to label objects, poses, and ...
Quick apply
Seeking entry level data specialists/IT for a robotics/AI company. Fresh graduates are encouraged to apply. Responsibilities * Use proprietary annotation tools to label objects, poses, and ...
Seeking entry level data specialists/IT for a robotics/AI company. Fresh graduates are encouraged to apply. Responsibilities * Use proprietary annotation tools to label objects, poses, and ...
Quick apply
Seeking entry level data specialists/IT for a robotics/AI company. Fresh graduates are encouraged to apply. Responsibilities * Use proprietary annotation tools to label objects, poses, and ...
Experience in data collection, data annotation, AI data projects, or similar freelance work is ... Flexible workload that allows you to work at your own pace. * Entry-level opportunity with ...
Experience in data collection, data annotation, AI data projects, or similar freelance work is ... Flexible workload that allows you to work at your own pace. * Entry-level opportunity with ...
Aptitude for IoT, AR/VR/MR, and AI/ML * Microsoft Office experience; Excel, Word, Outlook, OneNote, Teams, etc. Bonus Skills: * Ground Truth data collection experience * Annotation, tagging or ...
Aptitude for IoT, AR/VR/MR, and AI/ML * Microsoft Office experience; Excel, Word, Outlook, OneNote, Teams, etc. Bonus Skills: * Ground Truth data collection experience * Annotation, tagging or ...
Aptitude for IoT, AR/VR/MR, and AI/ML * Microsoft Office experience; Excel, Word, Outlook, OneNote, Teams, etc. Bonus Skills: * Ground Truth data collection experience * Annotation, tagging or ...
Aptitude for IoT, AR/VR/MR, and AI/ML * Microsoft Office experience; Excel, Word, Outlook, OneNote, Teams, etc. Bonus Skills: * Ground Truth data collection experience * Annotation, tagging or ...
Entry Level Ai Annotation information
What are some common challenges faced by entry level AI annotation specialists, and how can they be addressed?
Entry level AI annotation specialists often encounter challenges such as maintaining high accuracy while labeling large volumes of data and understanding complex annotation guidelines. To address these, it's important to ask questions when instructions are unclear and to participate in any provided training sessions. Regular feedback from supervisors and collaboration with teammates can also help improve quality and consistency. Attention to detail and the ability to stay focused during repetitive tasks are crucial for success in this role.
What is the difference between Entry Level Ai Annotation vs Data Labeler?
| Aspect | Entry Level Ai Annotation | Data Labeler |
|---|---|---|
| Required Credentials | High school diploma or equivalent; basic computer skills | High school diploma or equivalent; attention to detail |
| Work Environment | Remote or office-based; using annotation tools | Remote or on-site; labeling data sets |
| Industry Usage | AI development, machine learning projects | Data management, research, AI training |
| Search & Comparison Intent | Understanding entry-level roles in AI annotation | Similar roles in data labeling and annotation |
Entry Level Ai Annotation and Data Labeler roles are similar, focusing on preparing data for AI models. Both require basic technical skills and attention to detail. However, Ai Annotation often involves more specialized tools and may be part of larger AI development projects, while Data Labelers may work across various industries with broader data tasks.
What are the key skills and qualifications needed to thrive as an Entry Level AI Annotation Specialist, and why are they important?
To thrive as an Entry Level AI Annotation Specialist, you need keen attention to detail, basic data handling abilities, and at least a high school diploma or equivalent. Familiarity with data labeling platforms and annotation tools such as Labelbox or Supervisely is commonly required. Strong communication skills, reliability, and the ability to follow complex instructions help individuals excel in this role. These competencies ensure high-quality, accurately labeled data, which is vital for training effective AI and machine learning models.
What are entry level AI annotation jobs?
Entry level AI annotation jobs involve labeling, categorizing, or tagging data—such as images, text, or audio—to train artificial intelligence systems. Annotators ensure that the data used to build machine learning models is accurate and well organized. This work is crucial for teaching AI systems to recognize patterns and make decisions. These positions typically require attention to detail, basic computer skills, and sometimes familiarity with specific tools or guidelines provided by employers. Most roles are suitable for beginners and may offer remote or flexible work arrangements.
More about Entry Level Ai Annotation jobs
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What are the most commonly searched types of Ai Annotation jobs? The most popular types of Ai Annotation jobs are:
What states have the most Entry Level Ai Annotation jobs? States with the most job openings for Entry Level Ai Annotation jobs include:
What job categories do people searching Entry Level Ai Annotation jobs look for? The top searched job categories for Entry Level Ai Annotation jobs are:
$10/hr
Contractor
Posted 12 days ago
Job description
About Us
Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs.
Role overview
We are looking for detail-oriented professionals based in the United States to support AI model improvement through high-quality data review, annotation, classification, and validation. This is a short-term remote contract opportunity for candidates who can follow detailed guidelines, make consistent decisions, and maintain strong accuracy across repetitive review tasks.
In this role, you will work on structured AI data tasks used to train and evaluate advanced language models. The work is best suited for candidates with experience in data annotation, content review, quality assurance, operations, or similar analytical work.
CONTRACT: Short-term freelance/contractor assignment
COMMITMENT: 40 hours per week, at least 4 hours per day, including 4 hours overlap with PST
HOURLY RATE: $10/h
LOCATIONS: Remote, Alabama, Arizona, Colorado, Florida, Idaho, Iowa, Kentucky, Michigan, Minnesota, Mississippi, Missouri, Montana, New York, North Carolina, North Dakota, Oklahoma, Pennsylvania, South Carolina, South Dakota, Texas, Virginia, Wisconsin, Wyoming
PROCESS: 60min Aptitude Online Test
NOTES: Candidates must be currently based in the United States. Applications from outside the US cannot be considered.
Responsibilities
Requirements
Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs.
Role overview
We are looking for detail-oriented professionals based in the United States to support AI model improvement through high-quality data review, annotation, classification, and validation. This is a short-term remote contract opportunity for candidates who can follow detailed guidelines, make consistent decisions, and maintain strong accuracy across repetitive review tasks.
In this role, you will work on structured AI data tasks used to train and evaluate advanced language models. The work is best suited for candidates with experience in data annotation, content review, quality assurance, operations, or similar analytical work.
CONTRACT: Short-term freelance/contractor assignment
COMMITMENT: 40 hours per week, at least 4 hours per day, including 4 hours overlap with PST
HOURLY RATE: $10/h
LOCATIONS: Remote, Alabama, Arizona, Colorado, Florida, Idaho, Iowa, Kentucky, Michigan, Minnesota, Mississippi, Missouri, Montana, New York, North Carolina, North Dakota, Oklahoma, Pennsylvania, South Carolina, South Dakota, Texas, Virginia, Wisconsin, Wyoming
PROCESS: 60min Aptitude Online Test
NOTES: Candidates must be currently based in the United States. Applications from outside the US cannot be considered.
Responsibilities
- Review, label, classify, and validate data according to detailed project guidelines
- Ensure accuracy, consistency, and quality across assigned tasks
- Apply instructions objectively when evaluating or categorizing content
- Identify edge cases, discrepancies, and annotation issues
- Escalate unclear or inconsistent cases when needed
- Perform quality checks and provide clear feedback where required
- Meet productivity and quality expectations in a remote work environment
- Work independently while following project standards and timelines
Requirements
- Minimum 2 years of professional experience in an analytical, operational, QA, review, or similar role
- Strong English reading, writing, and comprehension skills
- Ability to follow detailed guidelines and apply them consistently
- Basic proficiency with Google Workspace or Microsoft Office
- Prior experience in data annotation, content review, quality assurance, or similar work
- Availability to work 40 hours per week for 3-4 weeks
- Reliable desktop or laptop setup with a stable internet connection