The role focuses on executing high-volume data labeling and annotation tasks to ensure models are trained on accurate and representative inputs. Responsibilities : • Execute high-volume data ...
New
The role focuses on executing high-volume data labeling and annotation tasks to ensure models are trained on accurate and representative inputs. Responsibilities : • Execute high-volume data ...
New
The role involves executing high-volume data labeling and annotation tasks to ensure models are trained on accurate and representative inputs. Responsibilities : • Execute high-volume data labeling ...
The role involves executing high-volume data labeling and annotation tasks to ensure models are trained on accurate and representative inputs. Responsibilities : • Execute high-volume data labeling ...
This role focuses on executing high-volume data labeling and annotation tasks to ensure models are trained on accurate and representative inputs. Responsibilities : • Execute high-volume data ...
This role focuses on executing high-volume data labeling and annotation tasks to ensure models are trained on accurate and representative inputs. Responsibilities : • Execute high-volume data ...
Responsibilities : • Execute high-volume data labeling and annotation tasks across speech and voice datasets • Follow detailed guidelines to ensure consistency, accuracy, and data integrity at ...
Responsibilities : • Execute high-volume data labeling and annotation tasks across speech and voice datasets • Follow detailed guidelines to ensure consistency, accuracy, and data integrity at ...
Responsibilities : • Execute high-volume data labeling and annotation tasks across speech and voice datasets • Follow detailed guidelines to ensure consistency, accuracy, and data integrity at ...
Responsibilities : • Execute high-volume data labeling and annotation tasks across speech and voice datasets • Follow detailed guidelines to ensure consistency, accuracy, and data integrity at ...
Responsibilities : • Execute high-volume data labeling and annotation tasks across speech and voice datasets • Follow detailed guidelines to ensure consistency, accuracy, and data integrity at ...
Responsibilities : • Execute high-volume data labeling and annotation tasks across speech and voice datasets • Follow detailed guidelines to ensure consistency, accuracy, and data integrity at ...
Responsibilities : • Execute high-volume data labeling and annotation tasks across speech and voice datasets • Follow detailed guidelines to ensure consistency, accuracy, and data integrity at ...
Responsibilities : • Execute high-volume data labeling and annotation tasks across speech and voice datasets • Follow detailed guidelines to ensure consistency, accuracy, and data integrity at ...
Responsibilities : • Execute high-volume data labeling and annotation tasks across speech and voice datasets • Follow detailed guidelines to ensure consistency, accuracy, and data integrity at ...
Responsibilities : • Execute high-volume data labeling and annotation tasks across speech and voice datasets • Follow detailed guidelines to ensure consistency, accuracy, and data integrity at ...
This role is focused on executing high-volume data labeling and annotation tasks to ensure models are trained on accurate and well-structured data inputs. Responsibilities : • Execute high-volume ...
This role is focused on executing high-volume data labeling and annotation tasks to ensure models are trained on accurate and well-structured data inputs. Responsibilities : • Execute high-volume ...
The role focuses on executing high-volume data labeling and annotation tasks for AI training, ensuring accuracy and consistency in working with audio and language data. Responsibilities : • Execute ...
The role focuses on executing high-volume data labeling and annotation tasks for AI training, ensuring accuracy and consistency in working with audio and language data. Responsibilities : • Execute ...
This role focuses on building datasets for AI systems through data labeling and annotation, requiring strong attention to detail and consistency. Responsibilities : • Execute high-volume data ...
This role focuses on building datasets for AI systems through data labeling and annotation, requiring strong attention to detail and consistency. Responsibilities : • Execute high-volume data ...
Execute high-volume data labeling and annotation tasks across speech and voice datasets * Follow detailed guidelines to ensure consistency, accuracy, and data integrity at scale * Work with audio and ...
Quick apply
Execute high-volume data labeling and annotation tasks across speech and voice datasets * Follow detailed guidelines to ensure consistency, accuracy, and data integrity at scale * Work with audio and ...
Execute high-volume data labeling and annotation tasks across speech and voice datasets * Follow detailed guidelines to ensure consistency, accuracy, and data integrity at scale * Work with audio and ...
Quick apply
Execute high-volume data labeling and annotation tasks across speech and voice datasets * Follow detailed guidelines to ensure consistency, accuracy, and data integrity at scale * Work with audio and ...
Execute high-volume data labeling and annotation tasks across speech and voice datasets * Follow detailed guidelines to ensure consistency, accuracy, and data integrity at scale * Work with audio and ...
Quick apply
Execute high-volume data labeling and annotation tasks across speech and voice datasets * Follow detailed guidelines to ensure consistency, accuracy, and data integrity at scale * Work with audio and ...
... data annotation projects. The ideal candidate will be fluent in both Chinese and English and capable of reviewing, evaluating, labeling, and validating multilingual data to improve AI model ...
... data annotation projects. The ideal candidate will be fluent in both Chinese and English and capable of reviewing, evaluating, labeling, and validating multilingual data to improve AI model ...
Execute high-volume data labeling and annotation tasks across speech and voice datasets * Follow detailed guidelines to ensure consistency, accuracy, and data integrity at scale * Work with audio and ...
Quick apply
Execute high-volume data labeling and annotation tasks across speech and voice datasets * Follow detailed guidelines to ensure consistency, accuracy, and data integrity at scale * Work with audio and ...
Execute high-volume data labeling and annotation tasks across speech and voice datasets * Follow detailed guidelines to ensure consistency, accuracy, and data integrity at scale * Work with audio and ...
New
Quick apply
Execute high-volume data labeling and annotation tasks across speech and voice datasets * Follow detailed guidelines to ensure consistency, accuracy, and data integrity at scale * Work with audio and ...
New
This role focuses on executing data labeling and annotation tasks to support speech and voice AI systems, ensuring high-quality datasets for AI training. Responsibilities : • Execute high-volume ...
New
This role focuses on executing data labeling and annotation tasks to support speech and voice AI systems, ensuring high-quality datasets for AI training. Responsibilities : • Execute high-volume ...
New
... annotation programs for AI research. This role combines program management, data operations, and AI/ML to deliver scalable, high-quality data labeling aligned with research and product needs.
... annotation programs for AI research. This role combines program management, data operations, and AI/ML to deliver scalable, high-quality data labeling aligned with research and product needs.
Spanish Data Labeling Analyst(Speech & Voice)
Seattle, WA · On-site
$26 - $28/hr
Execute high-volume data labeling and annotation tasks across speech and voice datasets * Follow detailed guidelines to ensure consistency, accuracy, and data integrity at scale * Work with audio and ...
Quick apply
Spanish Data Labeling Analyst(Speech & Voice)
Seattle, WA · On-site
$26 - $28/hr
Execute high-volume data labeling and annotation tasks across speech and voice datasets * Follow detailed guidelines to ensure consistency, accuracy, and data integrity at scale * Work with audio and ...
Annotation Labelling information
What are the key skills and qualifications needed to thrive as an Annotation Labelling Specialist, and why are they important?
To thrive as an Annotation Labelling Specialist, you need strong attention to detail, data analysis capabilities, and familiarity with data annotation standards, usually supported by a background in computer science or related fields. Proficiency with annotation tools such as Labelbox, CVAT, or Supervisely, and sometimes knowledge of basic programming or scripting, is typically required. Excellent communication, consistency, and the ability to follow complex instructions are crucial soft skills for producing high-quality labeled data. These skills ensure the accuracy and reliability of datasets, which are foundational for successful machine learning and AI model development.
What are some common challenges faced by Annotation Labelling professionals, and how can they be managed?
Annotation Labelling professionals often encounter challenges such as maintaining high accuracy while handling repetitive data, meeting tight deadlines, and adapting to evolving project guidelines. To manage these, it’s important to develop strong attention to detail, regularly communicate with team leads to clarify instructions, and leverage annotation tools efficiently. Collaborating closely with quality assurance teams can also help identify and correct errors early, ensuring consistently high-quality outputs.
What is annotation labelling?
Annotation labelling is the process of tagging or marking data—such as images, text, or audio—with relevant information or labels. This is an essential step in preparing datasets for machine learning and artificial intelligence models, as it helps algorithms understand and learn from raw data. Annotation labelling can include tasks like identifying objects in photos, transcribing speech, or categorizing text. Skilled annotators ensure accuracy and consistency to improve model performance. People in this role often use specialized tools or software to streamline and standardize the annotation process.
What is the difference between Annotation Labelling vs Data Labeling Specialist?
| Aspect | Annotation Labelling | Data Labeling Specialist |
|---|---|---|
| Credentials | Basic technical skills, attention to detail | Similar skills, sometimes additional domain knowledge |
| Work Environment | Data annotation platforms, remote or office | Data annotation tasks, often remote or in-office |
| Industry Usage | AI, machine learning, autonomous vehicles | AI, machine learning, healthcare, retail |
| Search & Comparison | Commonly compared for entry-level data tasks | Related but broader role |
Annotation Labelling involves marking data such as images, text, or videos to train AI models. Data Labeling Specialists perform similar tasks but may have a broader scope, including verifying and managing labeled data. Both roles are essential in AI development, often overlapping in skills and work environment, but Annotation Labelling is more focused on the annotation process itself.
What are popular job titles related to Annotation Labelling jobs in Seattle, WA? For Annotation Labelling jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Annotation Labelling jobs in Seattle, WA look for? The top searched job categories for Annotation Labelling jobs in Seattle, WA are:
What cities near Seattle, WA are hiring for Annotation Labelling jobs? Cities near Seattle, WA with the most Annotation Labelling job openings:
Full-time
Posted 2 days ago
Job description
Job Summary:
Welo Data is looking for detail-oriented individuals to join their team as Data Labeling Analysts, supporting speech and voice AI systems. The role focuses on executing high-volume data labeling and annotation tasks to ensure models are trained on accurate and representative inputs.
Responsibilities:
• Execute high-volume data labeling and annotation tasks across speech and voice datasets
• Follow detailed guidelines to ensure consistency, accuracy, and data integrity at scale
• Work with audio and language data, including transcription, categorization, and tagging
• Maintain strong throughput while meeting quality expectations
• Escalate unclear or ambiguous cases appropriately
• Adapt to evolving guidelines and workflows as systems and requirements change
• Support baseline data production needs for AI training pipelines
• Contribute to team calibrations and quality alignment sessions
Qualifications:
Required:
• Native-level fluency in Croatian
• Strong written communication skills and language fundamentals
• 1 year of work experience in data labeling, annotation, or content-focused work; or a Bachelor's degree or equivalent academic qualification in a related field.
• Ability to follow detailed instructions and apply guidelines consistently
• High attention to detail and ability to maintain accuracy in repetitive tasks
• Comfort working in structured, process-driven environments
• Ability to manage time effectively and maintain steady output
• Willingness to ask questions and escalate when needed
Preferred:
• Basic familiarity with AI, speech technology, or language data is a plus
Company:
With 27+ years of experience, Welo Data is the human-centered infrastructure for globally effective AI. Founded in , the company is headquartered in , , with a team of 1001-5000 employees. The company is currently Late Stage.
Welo Data is looking for detail-oriented individuals to join their team as Data Labeling Analysts, supporting speech and voice AI systems. The role focuses on executing high-volume data labeling and annotation tasks to ensure models are trained on accurate and representative inputs.
Responsibilities:
• Execute high-volume data labeling and annotation tasks across speech and voice datasets
• Follow detailed guidelines to ensure consistency, accuracy, and data integrity at scale
• Work with audio and language data, including transcription, categorization, and tagging
• Maintain strong throughput while meeting quality expectations
• Escalate unclear or ambiguous cases appropriately
• Adapt to evolving guidelines and workflows as systems and requirements change
• Support baseline data production needs for AI training pipelines
• Contribute to team calibrations and quality alignment sessions
Qualifications:
Required:
• Native-level fluency in Croatian
• Strong written communication skills and language fundamentals
• 1 year of work experience in data labeling, annotation, or content-focused work; or a Bachelor's degree or equivalent academic qualification in a related field.
• Ability to follow detailed instructions and apply guidelines consistently
• High attention to detail and ability to maintain accuracy in repetitive tasks
• Comfort working in structured, process-driven environments
• Ability to manage time effectively and maintain steady output
• Willingness to ask questions and escalate when needed
Preferred:
• Basic familiarity with AI, speech technology, or language data is a plus
Company:
With 27+ years of experience, Welo Data is the human-centered infrastructure for globally effective AI. Founded in , the company is headquartered in , , with a team of 1001-5000 employees. The company is currently Late Stage.
About Welo Data
Sourced by ZipRecruiter
Industry
Data services and translation services
Company size
1,001 - 5,000 Employees
Headquarters location
New York, NY, US