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Full Time Online Data Annotation Jobs (NOW HIRING)

Helix AI Engineer, Data Infrastructure

San Jose, CA ยท On-site

$126K - $165K/yr

... full-time experience building reliable backend systems โ€ข Experience with Linux and command line ... data annotation and dataset management tools. Company : Figure is an AI robotics company that ...

Helix AI Engineer, Data Infrastructure

San Jose, CA ยท On-site

$126K - $165K/yr

... full-time experience building reliable backend systems โ€ข Experience with Linux and command line ... data annotation and dataset management tools. Company : Figure is an AI robotics company that ...

Helix AI Engineer, Data Infrastructure

San Jose, CA ยท On-site

$126K - $165K/yr

... full-time experience building reliable backend systems โ€ข Experience with Linux and command line ... data annotation and dataset management tools. Company : Figure is an AI robotics company that ...

Experience building data annotation and dataset management tools. The US base salary range for this full-time position is between $150,000 - $400,000 annually. The pay offered for this position may ...

WHAT YOU'LL DO * Execute Data labelling and annotation tasks across speech and voice datasets ... W2 Full-Time Employee * Hours: 40 hours per week * Work Authorization: Must be authorized to work ...

WHAT YOU'LL DO * Execute Data labelling and annotation tasks across speech and voice datasets ... W2 Full-Time Employee * Hours: 40 hours per week * Work Authorization: Must be authorized to work ...

WHAT YOU'LL DO * Execute Data labelling and annotation tasks across speech and voice datasets ... W2 Full-Time Employee * Hours: 40 hours per week * Work Authorization: Must be authorized to work ...

WHAT YOU'LL DO * Execute Data labelling and annotation tasks across speech and voice datasets ... W2 Full-Time Employee * Hours: 40 hours per week * Work Authorization: Must be authorized to work ...

Data Collection

San Jose, CA ยท On-site

$150K - $250K/yr

Familiarity with data annotation platforms or labeling pipelines. * Experience with synthetic data ... Compensation The US base salary range for this full-time position is between $150,000 - $250,000 ...

Familiarity with data annotation platforms or labeling pipelines. * Experience with synthetic data ... Compensation The US base salary range for this full-time position is between $150,000 - $250,000 ...

WHAT YOU'LL DO * Execute Data labelling and annotation tasks across speech and voice datasets ... W2 Full-Time Employee * Hours: 40 hours per week * Work Authorization: Must be authorized to work ...

WHAT YOU'LL DO * Execute Data labelling and annotation tasks across speech and voice datasets ... W2 Full-Time Employee * Hours: 40 hours per week * Work Authorization: Must be authorized to work ...

WHAT YOU'LL DO * Execute Data labelling and annotation tasks across speech and voice datasets ... W2 Full-Time Employee * Hours: 40 hours per week * Work Authorization: Must be authorized to work ...

WHAT YOU'LL DO * Execute Data labelling and annotation tasks across speech and voice datasets ... W2 Full-Time Employee * Hours: 40 hours per week * Work Authorization: Must be authorized to work ...

WHAT YOU'LL DO * Execute Data labelling and annotation tasks across speech and voice datasets ... W2 Full-Time Employee * Hours: 40 hours per week * Work Authorization: Must be authorized to work ...

Showing results 21-40

Full Time Online Data Annotation information

What is a full time online data annotation job?

A Full Time Online Data Annotation job involves labeling, tagging, or categorizing data such as images, audio, video, or text to help train artificial intelligence (AI) models. Data annotators work remotely, often using specialized software platforms to accurately mark data according to specific guidelines. This role is essential for improving the accuracy and performance of machine learning algorithms in various industries, including technology, healthcare, and autonomous vehicles. Full-time positions typically require consistent hours and may offer benefits depending on the employer. Attention to detail and the ability to follow instructions are crucial skills for success in this job.

What are the key skills and qualifications needed to thrive as a full time online data annotation specialist, and why are they important?

To thrive as a Full Time Online Data Annotation Specialist, you need strong attention to detail, basic data management skills, and familiarity with data labeling concepts, often supported by a high school diploma or equivalent. Proficiency with data annotation tools, cloud-based platforms, and sometimes knowledge of scripting languages like Python is commonly required. Strong communication, time management, and the ability to work independently help individuals excel in this remote role. These skills ensure accurate, high-quality data labeling that is crucial for training effective machine learning models.

What are some common challenges faced by full time online data annotators, and how can they be managed effectively?

Full-time online data annotators often encounter challenges such as maintaining focus during repetitive tasks, managing high volumes of data, and ensuring consistency in labeling. To address these, it's important to take regular breaks, utilize productivity tools, and follow detailed annotation guidelines closely. Many organizations provide quality checks and feedback, which can help annotators improve accuracy and efficiency over time. Additionally, collaborating with team leads or peers can offer support and clarify any uncertainties regarding complex data.

What is the difference between Full Time Online Data Annotation vs Data Labeling Specialist?

AspectFull Time Online Data AnnotationData Labeling Specialist
CredentialsHigh school diploma or equivalent; basic computer skillsHigh school diploma or equivalent; attention to detail
Work EnvironmentRemote, online platform-basedRemote or in-office, often on specific projects
Industry UsageAI, machine learning, autonomous vehiclesAI, computer vision, NLP projects
Search IntentFull Time Online Data Annotation vs Data Labeling Specialist

Full Time Online Data Annotation involves ongoing, remote work focused on labeling data for AI training, often with a full-time schedule. Data Labeling Specialists may perform similar tasks but can work part-time or on specific projects. Both roles require attention to detail and basic technical skills, but Full Time Online Data Annotation typically offers more stability and consistent hours.

Is it hard to get hired for full time online data annotation?

Full time online data annotation jobs are generally accessible to those with basic computer skills and attention to detail. Competition can vary, but having familiarity with annotation tools and a reliable internet connection can improve chances of being hired. Many companies prioritize accuracy and consistency over formal qualifications.

What are the best data annotation companies to work for?

Full time online data annotation jobs are offered by companies such as Appen, Lionbridge, and Clickworker, which provide remote work opportunities for annotators. These companies often require attention to detail, familiarity with annotation tools, and the ability to work independently on flexible schedules.
More about Full Time Online Data Annotation jobs

What cities are hiring for Full Time Online Data Annotation jobs?

Cities with the most Full Time Online Data Annotation job openings:

What are the most commonly searched types of Online Data Annotation jobs?

The most popular types of Online Data Annotation jobs are:

What states have the most Full Time Online Data Annotation jobs?

States with the most job openings for Full Time Online Data Annotation jobs include:

Infographic showing various Full Time Online Data Annotation job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

AI Operations Manager (Remote - US)

Jobgether

Manhattan, NY โ€ข On-site, Remote

$95K - $145K/yr

Full-time

Medical, Dental, Vision, PTO

This job post hasย expired today.ย Applications are no longer accepted.


Job description

6 days ago Be among the first 25 applicants This range is provided by Jobgether. Your actual pay will be based on your skills and experience โ€” talk with your recruiter to learn more. Base pay range $95,000.00/yr - $145,000.00/yr About the role We are looking for an AI Operations Manager in the United States. This role offers the opportunity to lead and manage AI data projects for enterprise clients, ensuring high-quality, timely delivery across all stages of the project lifecycle.

You will act as the primary point of contact between clients and internal teams, guiding technical workflows, resource allocation, and quality control. The position emphasizes both strategic oversight and hands-on execution, making it ideal for professionals who excel in project management, client relations, and technical operations. You will work in a fast-paced, innovative environment where optimizing processes, mentoring teams, and ensuring data quality are central to success.

Exposure to AI/ML workflows, coding, and data annotation platforms will allow you to drive meaningful impact and enhance operational excellence. Accountabilities Lead and manage AI data creation projects from initiation through delivery, ensuring client satisfaction and adherence to timelines. Develop and maintain detailed project plans, including workflows, milestones, and resource allocation. Monitor project scope, communicate updates, and align deliverables with client expectations.

Hire, onboard, and manage annotators and technical teams to meet project-specific requirements. Guide teams in proper technical setup, workflow execution, and adherence to quality standards. Conduct regular quality reviews and spot checks to ensure data outputs meet client standards. Continuously refine workflows, tools, and processes to enhance operational efficiency and quality metrics. Serve as a bridge between clients, annotators, and internal teams to ensure clear communication of technical requirements and challenges.

Requirements 3-5 years managing complex, client-facing projects, preferably in AI, data annotation, or related fields. 2+ years in technical solutions, sales engineering, or customer-facing roles within Professional Services or Systems Engineering. Experience with coding and querying languages such as Python and SQL to define and manage project requirements. Solid understanding of AI/ML principles, workflows, and data annotation platforms.

Strong organizational, analytical, and problem-solving skills. Excellent communication and interpersonal abilities to manage client relationships and internal teams. Bachelor's degree in a technical field (Computer Science, Engineering, Data Science) or equivalent experience.

Nice to Have

Experience managing large-scale AI/ML data creation projects. Familiarity with AI training data quality metrics and improvement processes. Knowledge of large language models (LLMs) or other advanced AI technologies. Advanced coding skills in one or more programming languages.

Benefits

Competitive annual salary range of $95,000-$145,000, with quarterly bonuses. Flexible work arrangements and remote work opportunities. Comprehensive health, dental, and vision insurance plans. Paid time off, holidays, and vacation policies. Opportunities to work on cutting-edge AI/ML projects with enterprise clients. Professional growth and learning opportunities within a fast-growing AI infrastructure environment. Seniority level Mid-Senior level Employment type Full-time Job function Information Technology Industries Non-profit Organizations and Primary and Secondary Education