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$34.7K

$108.6K

$192.3K

How much do russian data annotation manager jobs pay per year?

As of May 31, 2026, the average yearly pay for russian data annotation manager in Bothell, WA is $108,597.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,800.00 and $140,300.00 per year, depending on experience, location, and employer.

What is a Russian Data Annotation Manager job?

A Russian Data Annotation Manager oversees the process of labeling and annotating data in the Russian language for machine learning and AI projects. They manage teams of annotators, ensure data quality, and optimize workflows to meet project requirements. This role requires fluency in Russian, attention to detail, and experience with annotation tools. Additionally, they collaborate with engineers and linguists to refine annotation guidelines for accurate model training.

What are the key skills and qualifications needed to thrive in the Russian Data Annotation Manager position, and why are they important?

To thrive as a Russian Data Annotation Manager, you need fluency in Russian, experience with data annotation processes, and strong organizational abilities, often supported by a background in linguistics, computer science, or a related field. Familiarity with annotation platforms, data labeling tools, and project management software is commonly required. Leadership, attention to detail, and effective communication are key soft skills that help excel in managing diverse annotation teams. These skills are essential for ensuring high-quality data outputs and efficient project delivery in multilingual technology environments.

What are some common challenges faced by Russian Data Annotation Managers, and how do they overcome them?

Russian Data Annotation Managers often encounter challenges related to maintaining consistency and accuracy across large, multilingual annotation teams, especially when dealing with nuanced language data. They address these issues by developing clear guidelines, conducting regular quality checks, and providing ongoing training to annotators. Collaboration with data scientists, project managers, and quality assurance personnel is also important to quickly resolve ambiguities and implement feedback. By fostering open communication and setting clear expectations, managers help ensure project standards are met and team members feel supported.
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Russian Data Annotation Manager jobs near you
Portuguese (Portugal) Data Labeling Associate((Human-in-the-Loop AI))

Portuguese (Portugal) Data Labeling Associate((Human-in-the-Loop AI))

Welo Data

Seattle, WA • On-site

Full-time

Posted 5 days ago

Job description

Job Summary:
Welo Data is looking for detail-oriented individuals to join their team as Data Labeling Associate. The role involves evaluating AI outputs, identifying gaps, and improving AI systems in real-world scenarios.
Responsibilities:
• Evaluate AI model outputs and provide structured, high-quality feedback
• Perform audit-based reviews of data and model behavior — identifying patterns, edge cases, and failure modes
• Apply guidelines thoughtfully — and flag when they don’t reflect real-world scenarios
• Contribute to improving evaluation frameworks, not just executing them
• Identify trends in model performance and communicate insights clearly
• Participate in team discussions, calibrations, and stakeholder syncs
• Partner with leads and cross-functional teams to refine quality standards
• Document findings in a clear, concise, and actionable way
Qualifications:
Required:
• Native-level language proficiency and a university degree (Bachelor’s or higher).
• B2 or superior level of English.
• 1–2 years of professional writing experience with strong, structured writing skills.
• Ability to apply complex writing rules and guidelines consistently.
• Strong understanding of safety considerations in GenAI data delivery, with 2+ years of relevant experience.
• Strong critical thinking and attention to detail.
• Ability to make sound judgment calls in ambiguous situations.
• Naturally curious about AI, technology, and how systems behave.
• Comfortable speaking up, asking questions, and contributing ideas.
• Strong written and verbal communication skills.
• Ability to stay consistent while working with evolving guidelines.
Preferred:
• Experience in data quality, QA, annotation, or analysis is helpful — but not required.
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.

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