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Russian Data Annotation Manager Jobs in Washington, DC

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 ...

Russian HLT/Technical Support

Vienna, VA · On-site

$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 ...

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 ...

With experts in biomedical science, software engineering, and program management, we focus on ... annotation, DEG), and Digital Spatial Profiling (annotation, QC, normalization, spatial ...

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 ...

Geospatial Data Analyst

Mclean, VA · On-site

$75K - $82K/yr

Manage, query, and validate spatial and tabular data using PostgreSQL and PostGIS, including data ... annotation collisions, feature congestion, inconsistent portrayal, and other visual or technical ...

... manage geospatial layers, and develop visually effective cartographic products for technical and ... annotation, symbols, and other map elements using established placement techniques to minimize ...

Showing results 21-40

Russian Data Annotation Manager information

See Washington, DC salary details

$35.1K

$110K

$194.8K

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

As of Sep 2, 2026, the average yearly pay for russian data annotation manager in Washington, DC is $110,026.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,800.00 and $142,100.00 per year, depending on experience, location, and employer.

What is a Russian data annotation manager?

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 as a Russian data annotation manager?

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.

What are popular job titles related to Russian Data Annotation Manager jobs in Washington, DC?

For Russian Data Annotation Manager jobs in Washington, DC, the most frequently searched job titles are:

What job categories do people searching Russian Data Annotation Manager jobs in Washington, DC look for?

The top searched job categories for Russian Data Annotation Manager jobs in Washington, DC are:

Artificial Intelligence / Machine Learning Verification and Validation Engineer

Penn State University

Reston, VA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 16 days ago


Penn State University rating

7.8

Company rating: 7.8 out of 10

Based on 104 frontline employees who took The Breakroom Quiz

234th of 627 rated colleges and universities


Job description

APPLICATION INSTRUCTIONS:
  • CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process. Please do not apply here, apply internally through Workday.
  • CURRENT PENN STATE STUDENT (not employed previously at the university) and seeking employment with Penn State, please login to Workday to complete the student application process. Please do not apply here, apply internally through Workday.
  • If you are NOT a current employee or student, please click "Apply" and complete the application process for external applicants.

Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see Notice to Out of State Applicants.
POSITION SPECIFICS
We are searching for a talented, experienced, organized, detail-oriented, and highly motivated AI/ML Engineer to join our Independent Verification and Validation (IV&V) and Data Curation Center of Excellence in the Information Science Division within the All-Domain Analytics and Signatures Office (A2SO) at the Applied Research Laboratory (ARL). This team serves as the foundation for effective machine learning-building, curating, and governing the data that directly determines whether AI/ML models succeed in operationally relevant environments. You will focus on hands-on work with classified multi-modal data, including imagery/FMV, geospatial and AIS tracks, signals and sensor data, and text-based intelligence reports and develop pipelines, annotation frameworks, and quality assurance processes while gaining deep exposure to state-of-the-art AI/ML research.
ARL is an authorized DoD Skillbridge partner and welcomes all transitioning military members to apply.
You will:
  • Label, annotate, and curate multi-modal datasets (imagery/FMV, geospatial, signals, text/documents) to support AI/ML model development and evaluation
  • Design and implement data pipelines for ingestion, transformation, quality control, and cataloging of classified and open-source data
  • Develop and maintain annotation standards, labeling guidelines, and data governance processes to ensure consistency and reproducibility across projects
  • Conduct IV&V of datasets and model outputs to ensure data integrity, label accuracy, and fitness for intended use
  • Collaborate with research scientists, algorithm developers, and program stakeholders to identify, acquire, and prioritize data requirements for specific AI/ML projects
  • Build and maintain data catalogs, metadata schemas, and access-controlled repositories that make curated datasets discoverable and accessible to the broader research team
  • Employ Python, SQL, and annotation platforms (e.g., CVAT, Label Studio) to automate labeling workflows, perform exploratory data analysis, and develop quality metrics
  • Document data provenance, lineage, and known limitations to support model evaluation, reproducibility, and responsible AI practices
  • Collaborate within an Agile development environment as part of a large research team

Required Skills/Experience areas include:
  • Bachelor's Degree in Computer Science, Data Science, Information Science, Engineering, or a related technical field
  • Proficiency in Python and SQL for data manipulation, analysis, and pipeline development
  • Familiarity with data annotation tools and workflows (e.g., CVAT, Label Studio, or equivalent)
  • Understanding of machine learning concepts, including how data quality impacts model training, evaluation, and deployment

Preferred Skills/Experience areas include:
  • Experience working with DoD or Intelligence Community data, workflows, or operational environments
  • Familiarity with geospatial data formats (shapefiles, GeoJSON, AIS), imagery/FMV exploitation, or signals data processing
  • Experience with data versioning tools (e.g., DVC, LakeFS) or data catalog platforms
  • Knowledge of IV&V methodologies and quality assurance practices for data-driven systems
  • Exposure to containerized development environments (Docker, Kubernetes) and cloud platforms (AWS, Azure)
  • Current eligibility for access to classified information at the TS/SCI level or higher and may be subject to a government background investigation to upgrade clearance eligibility, if required

Your working location will be fully on-site, located in State College, PA or Reston, VA. Questions related to flexible work should be directed to the hiring manager during the interview process.
MINIMUM EDUCATION, WORK EXPERIENCE & REQUIRED CERTIFICATIONS
If filled as R&D Engineer - Artificial Intelligence (ARL) - Advanced Professional, this position requires:Bachelor's Degree - Engineering or Science5+ years of relevant experienceRequired Certifications:NoneIf filled as R&D Engineer - Artificial Intelligence (ARL) - Intermediate Professional, this position requires:Bachelor's Degree - Engineering or Science2+ years of relevant experienceRequired Certifications:NoneIf filled as R&D Engineer - Artificial Intelligence (ARL) - Professional, this position requires:Bachelor's Degree - Engineering or ScienceNo prior relevant work experience requiredRequired Certifications:None
ARL's purpose is to research and develop innovative solutions to challenging scientific, engineering, and technology problems in support of the Navy, the Intel Community (IC), and other federal government customers.
FOR FURTHER INFORMATION on ARL, visit our website at www.arl.psu.edu.
BACKGROUND CHECKS/CLEARANCES
Employment with the University will require successful completion of background check(s) in accordance with University policies.
Notice regarding employment at the Applied Research Laboratory (ARL):Employees must be eligible to obtain a government security clearance, participate in the ARL drug testing program, and comply with electronic and physical monitoring requirements applicable to federal contractors. ARL operates in a secure information environment involving Unclassified, Controlled Unclassified Information (CUI), and Classified information. Personal electronic devices brought onsite must be registered and may be restricted from certain areas. You must be a U.S. citizen to apply.
SALARY & BENEFITS
The salary range for this position, including all possible grades, is $110,520.00 - $240,960.00. This salary range includes an adjustment based on required geographic work location.
Salary Structure - Information on Penn State's salary structure
Penn State provides a competitive benefits package for full-time employees designed to support both personal and professional well-being. In addition to comprehensive medical, dental, and vision coverage, employees enjoy robust retirement plans and substantial paid time off which includes holidays, vacation and sick time. One of the standout benefits is the generous 75% tuition discount, available to employees as well as eligible spouses and children. For more detailed information, please visit our Benefits Page.
CAMPUS SECURITY CRIME STATISTICS
Pursuant to the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act and the Pennsylvania Act of 1988, Penn State publishes a combined Annual Security and Annual Fire Safety Report (ASR). The ASR includes crime statistics and institutional policies concerning campus security, such as those concerning alcohol and drug use, crime prevention, the reporting of crimes, sexual assault, and other matters. The ASR is available for review here.
EEO IS THE LAW
Penn State is an equal opportunity employer and is committed to providing employment opportunities to all qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If you are unable to use our online application process due to an impairment or disability, please contact 814-865-1473.
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