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Full Time Ai Data Annotation Jobs (NOW HIRING)

Tiki AI

AI Data Software Engineer

San Francisco, CA · On-site

$134K - $162K/yr

Tiki AI provides end-to-end data annotation and intelligence solutions that transform raw information into high-quality, actionable datasets. Founded in , the company is headquartered in San ...

Teleskope

Jr. AI Engineer - Data Annotation

New York, NY · On-site

$75K - $90K/yr

About Teleskope Teleskope is redefining data security for the AI era with the only dedicated ... You'll use Python, SQL, and agentic development tools to make annotation and QC faster, more ...

New

Abaka AI

Data Solutions Engineer

Mountain View, CA · On-site

$136K - $163K/yr

Abaka AI provides accurate and efficient AI data services, including data collection, data cleaning, data annotation, and OTS datasets. Founded in 2021, the company is headquartered in Palo Alto, USA ...

Abaka AI

Data Solutions Engineer

Mountain View, CA · On-site

$136K - $163K/yr

Abaka AI provides accurate and efficient AI data services, including data collection, data cleaning, data annotation, and OTS datasets. Founded in 2021, the company is headquartered in Palo Alto, USA ...

Abaka AI

Data Solutions Engineer

Mountain View, CA · On-site

$136K - $163K/yr

Abaka AI provides accurate and efficient AI data services, including data collection, data cleaning, data annotation, and OTS datasets. Founded in 2021, the company is headquartered in Palo Alto, USA ...

Abaka AI

Data Operations Engineer

Mountain View, CA · On-site

$136K - $163K/yr

Abaka AI provides accurate and efficient AI data services, including data collection, data cleaning, data annotation, and OTS datasets. Founded in 2021, the company is headquartered in Palo Alto, USA ...

Abaka AI

Data Operations Engineer

Mountain View, CA · On-site

$136K - $163K/yr

Abaka AI provides accurate and efficient AI data services, including data collection, data cleaning, data annotation, and OTS datasets. Founded in 2021, the company is headquartered in Palo Alto, USA ...

Sunday

Technical Program Manager, Data Engine

Redwood City, CA · On-site

$157K - $204K/yr

... AI labs/data vendors • Technical skills to build tools for data annotation or collection • Ability to leverage AI to help improve productivity Company : Sunday is a robotics and artificial ...

Q ANALYSTS LLC

Data Annotation Technician

Kirkland, WA · On-site +1

... AI) and machine learning (ML). Q Analysts is headquartered in San Jose, CA with a presence ... Q Analysts is looking for Data Annotation Technicians to support Ground Truth Data Collection ...

Besimple AI

Strategic Projects Lead -- Audio Data

$53 - $71.75/hr

Required : • 3-7+ years of experience in data operations, AI data delivery, annotation operations, localization project management, marketplace operations, program management, or similar roles. • ...

Abaka AI

Data Operations Engineer

Mountain View, CA · On-site

$136K - $163K/yr

Abaka AI provides accurate and efficient AI data services, including data collection, data cleaning, data annotation, and OTS datasets. Founded in 2021, the company is headquartered in Palo Alto, USA ...

Figure

Helix AI Engineer, Data Infrastructure

San Jose, CA · On-site

$126K - $165K/yr

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

Figure

Helix AI Engineer, Data Infrastructure

San Jose, CA · On-site

$126K - $165K/yr

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

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Full Time Ai Data Annotation information

What are some common challenges faced by AI Data Annotation professionals, and how can they be addressed?

AI Data Annotation professionals often encounter challenges such as maintaining high accuracy while working with large datasets, interpreting ambiguous data, and consistently following complex labeling guidelines. These challenges can be addressed through thorough training, frequent communication with project managers or data scientists, and utilizing annotation tools with built-in quality checks. Collaboration with team members and regular feedback sessions also help ensure consistency and improve overall data quality, making the annotation process smoother and more efficient.

What are the key skills and qualifications needed to thrive as a Full Time AI Data Annotation Specialist, and why are they important?

To thrive as a Full Time AI Data Annotation Specialist, you need strong attention to detail, basic data literacy, and often a high school diploma or equivalent. Familiarity with annotation platforms (like Labelbox or Supervisely) and understanding of data labeling guidelines are typically required. Patience, consistency, and effective communication are soft skills that help ensure accuracy and clarity in collaborative projects. These skills and qualities are crucial for producing high-quality labeled data, which directly impacts the performance of AI models.

What are Full Time AI Data Annotation jobs?

Full Time AI Data Annotation jobs involve labeling, tagging, or categorizing data such as images, text, audio, or video to help train machine learning models. Annotators play a crucial role in ensuring AI systems understand and process information accurately by providing high-quality, human-curated data. These positions usually require attention to detail, basic computer skills, and the ability to follow specific guidelines for different projects. Full-time roles typically offer stable hours and may be remote or on-site, depending on the employer.

What is the difference between Full Time Ai Data Annotation vs Data Labeler?

AspectFull Time Ai Data AnnotationData Labeler
CredentialsHigh school diploma or equivalent; some roles prefer basic technical skillsHigh school diploma or equivalent; minimal technical requirements
Work EnvironmentOffice or remote; part of AI development teamsOffice or remote; often task-based or freelance
Industry UsageUsed across AI, machine learning, and data science industriesPrimarily in AI and machine learning industries for data preparation
Job ScopeFull-time, with responsibilities including data annotation, quality control, and collaborationTask-specific, focusing on labeling data accurately for AI training

Full Time Ai Data Annotation roles typically require more consistent hours, team collaboration, and a broader scope of responsibilities compared to Data Labelers, who often work on individual tasks with minimal oversight. Both roles are essential in AI development, but Full Time Ai Data Annotation offers more stability and integration within AI projects.

More about Full Time Ai Data Annotation jobs
What cities are hiring for Full Time Ai Data Annotation jobs? Cities with the most Full Time Ai Data Annotation job openings:
What are the most commonly searched types of Ai Data Annotation jobs? The most popular types of Ai Data Annotation jobs are:
What states have the most Full Time Ai Data Annotation jobs? States with the most job openings for Full Time Ai Data Annotation jobs include:
What job categories do people searching Full Time Ai Data Annotation jobs look for? The top searched job categories for Full Time Ai Data Annotation jobs are:
Full Time Ai Data Annotation jobs near you
Infographic showing various Full Time Ai Data Annotation job openings in the United States as of July 2026, with employment types broken down into 73% Full Time, 24% Part Time, and 3% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution.

AI Data Software Engineer

Tiki AI

San Francisco, CA • On-site

$134K - $162K/yr

Full-time

Posted 20 days ago

Job description

Job Summary:
Tiki AI builds the infrastructure that teaches frontier AGI systems how to think, not just predict. They are seeking an AI Data Software Engineer who will work closely with AI research labs to develop data production workflows and ensure the reliability of data pipelines.
Responsibilities:
• Partner with top-tier AI research labs to translate frontier model training objectives, such as code generation, mathematical reasoning, and spatial understanding, into executable data production workflows and pipelines.
• Build standalone MVP demos, scripts, and workflows to independently collect, synthesize, or clean non-standard data, utilizing whatever tools or languages are necessary for swift validation.
• Package technical solutions into scalable SOPs for internal teams and vendors. Align technical frameworks with external LLM clients, collaborate on technical requirements, and help resolve workflow bottlenecks.
• Stay ahead of AI research trends by digesting arXiv papers and technical reports. Direct algorithms like SFT, RLHF, and Chain-of-Thought into measurable, automated data production standards and agentic workflows.
• Contribute to data pipeline design and improvements to increase system reliability, observability, and data pipeline throughput as programs scale.
Qualifications:
Required:
• Possesses a solid technical background and programming experience; capable of reading code, writing scripts, and assessing technical feasibility, without being dependent on a specific technology stack.
• Proficient in at least one programming language.
• A proven ability to define the problem, find the right tools, and rapidly execute.
• Strong interest in AGI, LLMs, and agentic workflows.
• Being a Bay Area local is required.
Preferred:
• Hands-on experience with AI data production, synthetic data generation, or data engineering tailored for LLM training.
• Familiarity with alignment data paradigms like SFT, RLHF, or Chain-of-Thought, or data engineering for agentic reasoning models.
• Experience collaborating closely with product managers, technical account managers, or external partners.
• Bilingual proficiency: Mandarin.
Company:
Tiki AI provides end-to-end data annotation and intelligence solutions that transform raw information into high-quality, actionable datasets. Founded in , the company is headquartered in San Francisco, California, US, , with a team of 11-50 employees. The company is currently Early Stage.

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