ZipRecruiter

Log In

2

Full Time Annotation Jobs (NOW HIRING)

Sesame

Technical Program Manager, Data

San Francisco, CA · On-site

$152K - $196K/yr

... managing full-time employees or contractors involved in data labeling. • Expertise in writing technical specifications for data annotation pipelines. Preferred : • Understanding of ML data ...

Svitla Systems, Inc.

Taxonomy Analyst

Svitla Systems Inc. is looking for a Taxonomy Analyst with Spanish Language for a full-time ... Experience in data labeling/annotation and data validation. * Experience reviewing high-volume ...

next page

Showing results 1-20

All JobsAnnotation JobsFull Time Annotation Jobs

Full Time Annotation information

See salary details

$39K

$75.5K

$123.5K

How much do full time annotation jobs pay per year?

As of Jul 14, 2026, the average yearly pay for full time annotation in the United States is $75,506.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,500.00 and $88,500.00 per year, depending on experience, location, and employer.

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

To excel as a Full Time Annotation Specialist, you need keen attention to detail, strong analytical skills, and a solid understanding of data labeling concepts, often supported by a relevant degree or prior experience in data-related roles. Familiarity with annotation platforms, data management tools, and sometimes scripting languages like Python is commonly required. Strong communication, time management, and the ability to focus on repetitive tasks help individuals stand out in this position. These skills are essential to ensure high-quality, accurate data annotations that directly impact the performance of AI and machine learning models.

What are some common challenges faced in a full-time annotation role, and how can they be addressed?

Full-time annotation professionals often encounter challenges such as maintaining consistency and accuracy across large datasets, managing repetitive tasks, and meeting tight deadlines. These challenges can be addressed by developing a strong attention to detail, regularly cross-checking work, and utilizing annotation guidelines provided by the employer. Additionally, collaborating with team members and participating in quality assurance reviews helps ensure high standards and reduces errors. Many organizations offer training and feedback sessions to support continuous improvement and professional growth in this role.

What is a Full Time Annotation job?

A Full Time Annotation job involves labeling and categorizing data, such as images, text, audio, or video, to help train machine learning models. Annotators carefully tag or highlight specific information in datasets, following detailed guidelines to ensure accuracy. This role is essential in industries like artificial intelligence, self-driving cars, and natural language processing, where high-quality labeled data is crucial for model performance. Full Time Annotation positions typically require attention to detail, consistency, and sometimes familiarity with specialized tools or subject matter.

What is the difference between Full Time Annotation vs Part Time Annotation?

AspectFull Time AnnotationPart Time Annotation
Work HoursTypically 40 hours/weekFewer hours, flexible schedule
CredentialsBasic training, attention to detailSame as full time, often same requirements
Work EnvironmentOffice or remote, consistent scheduleFlexible, part-time settings
Employer UsageFull-time positions in tech companies, AI firmsPart-time roles, freelance or contract basis

Full Time Annotation involves working a standard full-time schedule with consistent hours, often in a dedicated work environment, suitable for those seeking stable employment. Part Time Annotation offers flexible hours, ideal for individuals balancing other commitments or seeking supplemental income. Both roles require similar skills and training but differ mainly in hours and employment structure.

More about Full Time Annotation jobs
What cities are hiring for Full Time Annotation jobs? Cities with the most Full Time Annotation job openings:
What are the most commonly searched types of Annotation jobs? The most popular types of Annotation jobs are:
What states have the most Full Time Annotation jobs? States with the most job openings for Full Time Annotation jobs include:
What job categories do people searching Full Time Annotation jobs look for? The top searched job categories for Full Time Annotation jobs are:
Full Time Annotation jobs near you
Infographic showing various Full Time Annotation job openings in the United States as of July 2026, with employment types broken down into 14% Locum Tenens, 18% Full Time, 16% Part Time, 18% Contract, 32% Nights, and 2% Summer. Highlights an 34% Physical, and 66% Remote job distribution, with an average salary of $75,506 per year, or $36.3 per hour.
Technical Program Manager, Data

Technical Program Manager, Data

Sesame

San Francisco, CA • On-site

$152K - $196K/yr

Full-time

Re-posted 29 days ago

Job description

Job Summary:
Sesame is a company focused on creating lifelike computers that can interact naturally with humans. They are seeking a Senior Technical Program Manager to lead their data collection and annotation initiatives, ensuring the delivery of high-quality data while collaborating with research and product teams.
Responsibilities:
• Lead audio data collection and annotation efforts at Sesame.
• Collaborate with research and product teams to understand and formalize their requirements.
• Identify and manage internal resources and/or external vendors to complete data tasks.
• Ensure the delivery of high-quality work.
• Work closely with tooling engineers to support data-related tasks.
• Oversee data acquisition processes.
Qualifications:
Required:
• Bachelor’s degree in Computer Science or a related field.
• 5+ years of experience working with machine learning researchers and engineers.
• Proven experience leading data labeling projects.
• Experience managing full-time employees or contractors involved in data labeling.
• Expertise in writing technical specifications for data annotation pipelines.
Preferred:
• Understanding of ML data pipelines and their applications.
• Experience working with LLMs.
• Familiarity with data labeling for audio technologies, such as speech recognition and speech synthesis.
Company:
Sesame is a voice tech startup focused on developing AI voice assistants that create natural and emotionally resonant conversations. Founded in 2022, the company is headquartered in San Francisco, USA, with a team of 51-200 employees. The company is currently Growth Stage.

Apply