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Russian Data Annotation Manager Jobs in Reston, VA

Innodata Inc.

AI Solutions Engineer

Washington, DC

$75 - $80/hr

... management, quality validation pipelines * Python - strong, production-grade; comfortable with ML tooling and data pipeline development * Experience configuring AI-assistive features in annotation ...

Welo Data

Data Labeling Associate

Washington, DC

$34/hr

WHAT YOU'LL DO • Execute Data labelling and annotation tasks across speech and voice datasets. • Work with audio and language data, including transcription, categorization, and tagging. YOU ARE A ...

Leidos

Russian HLT [HLT/Technical Support}

Vienna, VA

$92K - $166K/yr

Russian Linguist (HLT/Technical Support) Make a Global Impact - Join the Mission at Leidos Are you ... Process, analyze , and manage data to support mission requirements * Utilize technical tools and ...

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All JobsRussian Data Annotation JobsRussian Data Annotation Manager JobsRussian Data Annotation Manager Jobs in Reston, VA

Russian Data Annotation Manager information

See Reston, VA salary details

$32.3K

$101.1K

$178.9K

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

As of Jul 21, 2026, the average yearly pay for russian data annotation manager in Reston, VA is $101,065.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,700.00 and $130,600.00 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 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.

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 popular job titles related to Russian Data Annotation Manager jobs in Reston, VA? For Russian Data Annotation Manager jobs in Reston, VA, the most frequently searched job titles are:
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What cities near Reston, VA are hiring for Russian Data Annotation Manager jobs? Cities near Reston, VA with the most Russian Data Annotation Manager job openings:
Russian Data Annotation Manager jobs near you
Infographic showing various Russian Data Annotation Manager job openings in Reston, VA as of July 2026, with employment types broken down into 2% Locum Tenens, 35% Full Time, 25% Part Time, 2% Contract, 35% Nights, and 1% Summer. Highlights an 56% Physical, 1% Hybrid, and 43% Remote job distribution, with an average salary of $101,065 per year, or $48.6 per hour.
Data & Annotation Engineer

Data & Annotation Engineer

Innodata Inc.

Washington, DC

$55 - $60/hr

Other

Posted 11 days ago

Innodata rating

7.3

Company rating: 7.3 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

150th of 209 rated software companies

Job description

About the Program: 

Innodata's Federal Practice builds the trusted data layer for critical infrastructure Trust & Safety work. Partnering with a leading systems integrator, we're delivering a modern, governed data services platform in a secure federal (IL4) environment. Over an intensive 20-week phase, you'll help stand up a data services storefront, a DataCard governance framework, synthetic data integration, and Databricks write-back capabilities.

About the Role: 

As the Data/Annotation Engineer, you'll be hands-on with the data itself. You'll administer the annotation toolchain, manage annotation workflows across the corpus, and produce the per-dataset documentation that feeds our governance framework. You'll work with the AI Solutions Engineer to ensure the data going into our models is accurate, well-labeled, and fully traceable. This role is for someone detail-obsessed who understands that great AI starts with disciplined, well-governed data.

Key Responsibilities:

  • Receive, validate, ingest, and ontology-map the ODIN mission-aligned corpus from AFS delivery
  • Produce the ODIN load report: corpus description, ontology mapping, readiness state
  • Configure CVAT annotation pipeline against the Phase 1 starter kit rule pack
  • Operate both self-service and lightweight white-glove annotation paths during Phase D corpus production
  • Produce 50-100 label demonstration corpus across synthetic and mission-aligned content
  • Support QA/Evaluation Lead on QC execution and corpus annotation dry-runs
  • Associate DataCard provenance records with annotated and synthetic outputs in coordination with the Solution Architect

Must-Have Qualifications:

  • Bachelor's degree in Data Science, Computer Science, or related field preferred. Equivalent experience may substitute for degree on a 2-for-1 basis.
  • 5+ years total professional experience, 3+ years in data engineering or annotation operations
  • CVAT - deployment and day-to-day operation required; this is not a nice-to-have
  • Annotated dataset ingest pipelines: schema mapping, format validation, ontology alignment
  • Full-motion video (FMV) annotation concepts and tooling
  • Python scripting for data wrangling, validation, and format conversion
  • Active Secret clearance with TS/SCI eligibility

Nice-to-Have Qualifications:

  • Bachelor's degree in Computer Science, Machine Learning, Data Science, or related field required; Master's degree preferred. Equivalent experience may substitute for degree on a 2-for-1 basis
  • CVAT annotation platform - AI feature configuration and operation
  • DoD or IC data program experience: CUI, distribution statements, federal data governance
  • Evaluation design for AI/ML training data: IAA methodology, drift detection, model performance measurement
  • Video understanding or FMV annotation experience
  • DataCard or ML data provenance framework familiarity

The expected hourly salary range for this position is $55 to $60 p/hour, based on experience, skills, and qualifications.

Note to Candidates: 

Phase D corpus production (Weeks 17-19) is the core demonstration deliverable for the program's largest payment milestone ($131,250). Candidates must be genuinely comfortable operating CVAT at production quality against a mission dataset under a milestone deadline

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