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Annotation Specialist I Jobs (NOW HIRING)

The BIM Specialist I position is for individuals with one or more years of Revit modeling ... annotation. * Ability to work in a professional consulting engineering design office and become ...

As we open our new Salt Lake City office and grow our annotation team, we are looking for a Video ... A specialist, or informal mentor * Exceptional attention to detail; you notice small ...

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If you still have trouble accessing it, let me know and I can share the application link with you ... Verified, paid Human Data experience for AI training--such as data labeling, annotation, RLHF, AI ...

I) Manage CAE software for engineering analysis including installations and support. * J) Manage ... Experience in using Model Based Definition, Functional Tolerancing and Annotation, or Geometric ...

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Annotation Specialist I information

What is an annotation specialist I?

An Annotation Specialist I is a professional responsible for labeling, tagging, or categorizing data, such as text, images, audio, or video, to help train machine learning models and artificial intelligence systems. They follow specific guidelines to ensure accuracy and consistency in the data annotations. This entry-level role often involves using specialized software tools to mark up large datasets, supporting data scientists and engineers in improving AI algorithms.

What are the key skills and qualifications needed to thrive as an annotation specialist I?

To excel as an Annotation Specialist I, you need strong attention to detail, data analysis skills, and a high school diploma or relevant experience. Familiarity with data labeling tools, basic spreadsheet software, and annotation platforms is commonly required. Excellent communication, teamwork, and time management skills help individuals stand out in this role. These abilities ensure the accurate and efficient preparation of high-quality datasets crucial for machine learning and AI projects.

What are some common challenges faced by annotation specialists I, and how can they be overcome?

Annotation Specialists I often encounter challenges such as maintaining consistency in labeling data, managing repetitive tasks, and meeting tight deadlines. To overcome these, it's important to regularly review annotation guidelines, participate in team discussions to clarify ambiguities, and use productivity tools to streamline workflows. Collaborating with peers and supervisors also helps ensure high-quality data annotation and continuous improvement in accuracy.

What is the difference between Annotation Specialist I vs Data Labeler?

AspectAnnotation Specialist IData Labeler
Required CredentialsHigh school diploma or equivalent; some roles may prefer related courseworkHigh school diploma or equivalent; minimal certification needed
Work EnvironmentOffice or remote; focused on data annotation tasksRemote or on-site; primarily labeling data for machine learning
Industry UsageUsed across tech, healthcare, automotive industries for AI trainingCommon in tech and e-commerce sectors for dataset preparation
Search & Comparison IntentUnderstanding entry-level annotation rolesLooking for similar data labeling positions

The main difference is that Annotation Specialist I typically involves more specialized annotation tasks and may require some industry-specific knowledge, while Data Labeler roles are often more general and focus on basic data labeling. Both roles are entry-level and share similar work environments, but Annotation Specialist I positions may offer more opportunities for skill development and industry-specific work.

More about Annotation Specialist I jobs

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What states have the most Annotation Specialist I jobs?

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Infographic showing various Annotation Specialist I job openings in the United States as of September 2026, with employment types broken down into 78% Full Time, 20% Part Time, and 2% Contract. Highlights an 77% Physical, 2% Hybrid, and 21% Remote job distribution.

Data Annotation Specialist - Seattle (On Site)

Seattle, WA • On-site

Welocalize
Translation Services • 1 - 5K employees

Full-time

Re-posted yesterday


Welocalize rating

6.5

Company rating: 6.5 out of 10

Based on 13 frontline employees who took The Breakroom Quiz


Job description

Job Summary:
Welo Global is a company focused on advancing AI technologies, and they are seeking a Data Analyst to join their team. This role involves testing new AI products, conducting data annotation, and collaborating on machine learning model updates to ensure high-quality data for AI solutions.
Responsibilities:
• Test new AI products and provide actionable feedback to improve functionality and user experience.
• Conduct detailed data annotation and quality assurance of natural language datasets following established guidelines.
• Collaborate in updating and refining machine learning models to boost accuracy and effectiveness.
• Analyze data for consistency, relevancy, and alignment with project goals.
• Perform quality control to identify and report anomalies, error patterns, and discrepancies.
• Use basic data analysis methods to extract insights and support continuous improvement.
• Prepare clear and concise reports on findings, including observations on data quality, AI model performance, and user feedback.
Qualifications:
Required:
• Must have valid work authorization in the US (Welocalize does not sponsor VISAs at this time).
• To verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.
• In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.
Preferred:
• University degree in linguistics, translation, or a related field.
• 3-5 years of professional linguistics experience.
• Strong analytical skills with the ability to detect patterns and anomalies.
• Excellent communication skills and the ability to work collaboratively in a fast-paced environment.
• Adaptability to evolving priorities and project requirements.
Company:
Welocalize provides translation supply chain management solutions that deliver market-ready, translated content. Founded in 1997, the company is headquartered in Frederick, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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