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Senior Data Annotation Analyst Jobs in Washington

Senior Data Analyst

Falls Church, VA · On-site

$91K - $115K/yr

The Senior Data Analyst will lead the analysis of large, complex data sets from multiple program sources and transform the results into clear, actionable findings. The role includes monitoring data ...

Senior Data Analyst

Falls Church, VA · On-site

$91K - $115K/yr

The Senior Data Analyst will lead the analysis of large, complex data sets from multiple program sources and transform the results into clear, actionable findings. The role includes monitoring data ...

Senior Data Analyst

VA · On-site

$86K - $109K/yr

Position Overview The client are recruiting for a Senior Data Analyst who will support the critical functions for Open Source Intelligence in the IC. Responsibilities * Develop metrics and analysis ...

Senior Data Analyst

Mclean, VA · On-site

$100 - $125/hr

Position Overview The client are recruiting for a Senior Data Analyst who will support the critical functions for Open Source Intelligence in the IC. Responsibilities * Develop metrics and analysis ...

Senior Data Analyst

Washington, DC · On-site

$100 - $125/hr

Senior Data Analyst Full Time Washington, DC, US Salary Range: $90,000.00 To $125,000.00 Annually JOB SUMMARY Corvus Consulting, LLC is seeking a highly skilled and detail ‑ oriented Senior Data ...

Senior Data Analyst

Washington, DC · On-site

$80 - $100/hr

Senior Data Analyst Location: Washington, D.C.; (Hybrid, after 90 days In-person) Status: Full-time; Exempt Reports to: Business & Data Analytics Manager Direct Reports: None Typical Work Hours: 8:30 ...

Sr. Data Analyst

Alexandria, VA · On-site

$150 - $200/hr

We have an immediate need for a Sr. Data Analyst to provide onsite support out of the Pentagon and/or Mark Center in Alexandria, VA. Responsibilities The Sr. Data Analyst will support the newly ...

Senior Data Analyst

Washington, DC · On-site +1

$97K - $122K/yr

Gritter Francona is looking for a Senior Data Analyst to provide advanced data analytics and project management support for federal healthcare initiatives. The analyst will collect, analyze, and ...

Senior Data Analyst

Washington, DC · On-site

$97K - $122K/yr

Gritter Francona is looking for a Senior Data Analyst to provide advanced data analytics and project management support for federal healthcare initiatives. The analyst will collect, analyze, and ...

Senior Data Analyst

Washington, DC · On-site

$125 - $150/hr

The Senior Data Analyst will partner closely with legal, operational, and IT teams to run sophisticated queries, develop interactive dashboards, and maintain data integrity that drives high‑level ...

Senior Data Analyst

Washington, DC · On-site

$90K - $125K/yr

The Senior Data Analyst will partner closely with legal, operational, and IT teams to run sophisticated queries, develop interactive dashboards, and maintain data integrity that drives high-level ...

Senior Data Analyst

Washington, DC · On-site

$97K - $122K/yr

Description Senior Data Analyst Req ID 001-25 v1.0 HazeGrayCyber, LLC is focused on delivering Cyber Security and Zero Trust Solutions to the US National Defense community and our allies and partners.

Senior Data Analyst

Silver Spring, MD · On-site

$89K - $112K/yr

Think Tank is seeking a Senior Data Analyst to support the National Marine Fisheries Service (NMFS). This role will focus on analyzing international seafood trade data to identify risks, support ...

Senior Data Analyst

Mclean, VA · Hybrid

$86K - $109K/yr

As a Senior Data Analyst, you will be part of a dynamic team supporting customers within the Cybersecurity and Infrastructure Security Agency (CISA). In this role, you will help drive datainformed ...

Senior Data Analyst/Modeler

Washington, DC · On-site

$97K - $122K/yr

The Senior Data Analyst/Modeler is a highly trained professional who will become an expert in our source data and lead the data mapping effort to migrate the data into our new enterprise data ...

Financial Analysis * Technical & Report Writing * Business Communication * Content Review & Editing * Fact Checking * Data Interpretation * Data Annotation * Problem-Solving * Independent Research

Showing results 21-40

Senior Data Annotation Analyst information

What is a senior data annotation analyst?

Senior Data Annotation Analysts are experienced professionals who oversee the process of labeling and tagging data, such as text, images, or audio, to train machine learning models. They are responsible for ensuring high-quality annotations, developing guidelines, and often mentoring junior annotators. Their work is crucial for the success of AI and machine learning projects, as accurate data annotation directly impacts model performance. Senior analysts also collaborate with data scientists and engineers to refine annotation processes and improve data quality.

What are the key skills and qualifications needed to thrive as a senior data annotation analyst?

To thrive as a Senior Data Annotation Analyst, you need expertise in data labeling, analytical thinking, and a strong understanding of machine learning concepts, often supported by a relevant degree or significant experience in data operations. Familiarity with annotation platforms (like Labelbox or Supervisely), data management tools, and quality assurance processes is typically required. Attention to detail, problem-solving, and the ability to communicate feedback effectively are crucial soft skills for this role. These competencies ensure high-quality data sets that drive accurate machine learning models and improve project outcomes.

How does a senior data annotation analyst typically collaborate with machine learning engineers and data scientists?

As a Senior Data Annotation Analyst, you will often work closely with machine learning engineers and data scientists to ensure that labeled data meets project requirements and quality standards. You may participate in meetings to discuss annotation guidelines, clarify ambiguous cases, and provide feedback on data challenges that arise. Your expertise in annotation tools and processes helps streamline workflows and ensures that the annotated datasets are reliable, which is critical for model training and evaluation. Collaboration is key, and you'll be expected to communicate effectively across teams to address issues and continuously improve the data pipeline.

What is the difference between Senior Data Annotation Analyst vs Data Annotation Specialist?

AspectSenior Data Annotation AnalystData Annotation Specialist
CredentialsBachelor's degree in related field, experience in data annotationHigh school diploma or equivalent, entry-level experience
Work EnvironmentCollaborative teams, project management, quality assuranceIndividual tasks, data labeling, basic quality checks
Industry UsageTech, AI, machine learning companiesAI startups, data labeling firms, research projects

The Senior Data Annotation Analyst typically has more experience, handles complex annotation projects, and oversees quality control, whereas the Data Annotation Specialist focuses on basic labeling tasks. Both roles are essential in AI data preparation, but the senior analyst often leads projects and ensures standards are met.

Does data annotation actually pay well?

Data annotation analysts typically earn hourly wages that are close to minimum wage or slightly above, with pay varying based on experience, location, and the complexity of tasks. While some roles offer higher pay for specialized skills or certifications, overall compensation is generally modest compared to other tech roles.

Is data annotation still hiring?

Data annotation roles, including senior positions, are actively hiring as companies expand their AI and machine learning projects. These jobs often require attention to detail and familiarity with annotation tools, and they are available in both remote and on-site formats. Demand remains steady due to ongoing growth in AI data needs.

What does a senior data annotation analyst do?

A senior data annotation analyst is responsible for reviewing, labeling, and validating data to ensure accuracy for machine learning models. They often use annotation tools and may oversee junior team members, ensuring data quality and consistency in projects involving image, text, or video data.

What are the most commonly searched types of Data Annotation Analyst jobs in Washington?

The most popular types of Data Annotation Analyst jobs in Washington are:

What cities in Washington are hiring for Senior Data Annotation Analyst jobs?

Cities in Washington with the most Senior Data Annotation Analyst job openings:

Senior Data Analyst

HEITECH SERVICES

Falls Church, VA • On-site

$91K - $115K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 6 days ago


Job description

Description

HeiTech Services is seeking a Senior Data Analyst to support a federal program that helps ensure service members experiencing serious illness or injury receive consistent, timely, and well-informed disability-related determinations and support. The program relies on accurate data and sound analysis to evaluate performance, identify quality concerns, improve processes, and help federal leaders make informed policy and operational decisions. This position offers the opportunity to use advanced analytics to improve a nationally significant program supporting military readiness, service members, and their families.


The Senior Data Analyst will lead the analysis of large, complex data sets from multiple program sources and transform the results into clear, actionable findings. The role includes monitoring data quality, identifying and resolving errors, developing recurring and ad hoc reports, supporting system improvements, refining business processes, and presenting complex information through effective tables, visualizations, and statistical products. Working closely with the Program Manager, policy analysts, Government stakeholders, technical teams, and HeiTech corporate managers, the Senior Data Analyst will also oversee assigned personnel and help ensure analytical products are accurate, reproducible, timely, and suitable for executive decision-making.


Key Responsibilities:

  •  Develop, refine, and produce recurring and ad hoc analytical reports using large data sets, approved data-analysis software, and appropriate statistical methods.
  •  Integrate information from multiple sources to evaluate program performance, quality, timeliness, outcomes, workload, compliance, and emerging trends.
  •  Monitor data quality across program systems, identify anomalies and errors, assess their impact, coordinate remediation, and recommend preventive controls.
  • Maintain clear tracking of identified data issues, completed corrections, responsible parties, aging, and unresolved actions.
  •  Identify the data frameworks, structures, relationships, definitions, and governance controls needed to support program requirements.
  •  Support the integration of system-level data requirements and architectures into secure, compliant, and sustainable enterprise-level approaches.
  •  Analyze business and technical requirements and translate them into data specifications, validation rules, reporting logic, and system-improvement recommendations.
  •  Support system change requests, user-acceptance testing, data validation, requirements traceability, and verification of implemented changes.
  •  Develop and refine business-process maps, data flows, user guidance, reporting procedures, and other documentation supporting consistent system use.
  •  Conduct survey, cohort, case, quality, performance, and program analyses using methods appropriate to the size and complexity of the available data.
  •  Present analytical findings through concise narratives, tables, dashboards, graphs, scatter plots, distribution plots, and other statistical or mathematical visualizations.
  •  Explain analytical methods, assumptions, limitations, findings, and recommendations to technical and nontechnical stakeholders.
  •  Supervise or oversee assigned personnel and maintain the quality, timeliness, consistency, and reproducibility of analytical activities and products.
  •  Coordinate analytical work with Government program leads, policy analysts, system owners, subject matter experts, and other technical and program stakeholders.
  •  Work with the Program Manager and HeiTech corporate managers to address staffing, performance, quality, training, technology, risk, and employee-support needs.
  •  Protect sensitive federal information and comply with applicable requirements governing records management, privacy, confidentiality, cybersecurity, and Controlled Unclassified Information.

Requirements

  • Bachelor's degree in data science, computer science, information systems, information technology, statistics, mathematics, business analytics, or a related technical field.
  •  Relevant data analytics certification, such as Certified Analytics Professional, Google Data Analytics Professional, Microsoft, Tableau, AWS, or a comparable industry-recognized certification.
  •  At least six years of experience in systems analytics, business analytics, data analytics, or a closely related discipline.
  •  At least five years of experience supervising or overseeing personnel.
  •  At least three years of experience identifying and developing data frameworks needed to support program or operational requirements.
  •  Experience integrating system-level data requirements and architectures into enterprise-level approaches that meet federal or Department of Defense requirements.
  •  Experience working with large data sets from multiple sources and applying statistical methods to identify trends, anomalies, relationships, quality concerns, and performance risks.
  •  Experience developing recurring and ad hoc analytical reports, dashboards, tables, graphs, and complex statistical or mathematical visualizations.
  •  Experience with data-quality monitoring, validation, error tracking, root-cause analysis, remediation, and preventive controls.
  •  Experience supporting system requirements, change requests, user-acceptance testing, business-process mapping, and technical documentation.
  •  Strong analytical, critical-thinking, problem-solving, communication, documentation, and stakeholder-coordination skills.
  •  Ability to explain complex analytical findings and technical information clearly to executive, program, policy, and nontechnical audiences.
  •  Ability to supervise personnel, manage competing priorities, meet short deadlines, and maintain consistent quality across multiple analytical products.
  •  Availability during standard Eastern Time business hours, Monday through Friday.
  •  Ability to successfully complete and maintain, at a minimum, the required Tier 1 federal background investigation and satisfy applicable personnel-security and suitability requirements.
  •  Ability to complete required onboarding, training, confidentiality, system-access, telework, and Controlled Unclassified Information protection requirements.

 Compensation & Benefits 

  • Compensation: $95,000-$115,000
  • Benefits: Health, life, dental, vision, and disability insurance (eligible after 30 days). 
  • Additional: HSA, 401(k) with employer match, and educational reimbursement

This position is contingent upon contract award. HeiTech Services is proactively identifying qualified candidates in anticipation of a potential federal contract award. Qualified applicants may be contacted for prescreening and interviews prior to award. Employment is contingent upon successful contract award and completion of all required pre-employment and security requirements. 

HeiTech Services is an Equal Opportunity Employer. We consider all qualified applicants without regard to race, color, religion, sex (including pregnancy, sexual orientation, and gender identity), national origin, age, disability, veteran status, or any other protected status under applicable law.

If you require a reasonable accommodation during the application process, please contact us at HR@HeiTechServices.com.

HeiTech Services may utilize technology-assisted tools, including artificial intelligence, to support the review of application materials. These tools are used to enhance efficiency; however, all hiring decisions are made by human reviewers in accordance with federal hiring guidelines.