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Seasonal Data Annotation Tech Jobs in Virginia (NOW HIRING)

Seekr

Senior Data Scientist

Reston, VA · On-site

Coordinate data collection and annotation efforts for supervised training efforts * Design and ... Research and development on cutting-edge machine learning technologies Qualifications and Skills:

Ask IT consulting

Sr. Java Developer

Richmond, VA

$56.75 - $72.25/hr

Company Description Ask IT Consulting Inc. visualizes itself as a leader in IT services and ... Develop and maintain system documentation, including technical specifications, data mapping ...

LMI

Senior Health Data Analyst

Tysons, VA · On-site

$92K - $158K/yr

Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and ... Ability to multi-task between complex projects during seasonal peak periods Preferred ...

AgileEngine

Taxonomy Analyst ID76178

Richmond, VA · On-site

... tech platform serving global English-speaking markets. You will standardize job titles, map ... classification, data validation, or data labeling/annotation; - Strong analytical skills ...

LMI

Senior Health Data Analyst

Tysons, VA

$92K - $158K/yr

Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and ... Ability to multi-task between complex projects during seasonal peak periods Preferred ...

AgileEngine

Taxonomy Analyst

Richmond, VA · On-site

... tech platform serving global English-speaking markets. You will standardize job titles, map ... classification, data validation, or data labeling/annotation; * Strong analytical skills ...

BAE Systems

Imagery Anst II

Falls Church, VA · On-site

$79K - $134K/yr

Experience with Machine Learning training data creation, annotation, and review as well as ... As you develop the latest technology and defend national security, you will continually hone your ...

BAE Systems

Imagery Anst Sr

Falls Church, VA · On-site

$95K - $161K/yr

Experience with Machine Learning training data creation, annotation, and review as well as ... As you develop the latest technology and defend national security, you will continually hone your ...

BAE Systems

Imagery Anst Sr

Sterling, VA · On-site

$95K - $161K/yr

Experience with Machine Learning training data creation, annotation, and review as well as ... As you develop the latest technology and defend national security, you will continually hone your ...

Vets2PM

CAD/Revit Drafter - Level II

Arlington, VA

$42.50 - $52/hr

Support data integration efforts by attaching project attributes and relevant metadata to model ... Proficiency in AutoCAD (2D drafting, layering, and annotation) and Revit (3D modeling, plan ...

Vets2PM

CAD/Revit Drafter - Level II

Arlington, VA · On-site

$42.50 - $52/hr

Support data integration efforts by attaching project attributes and relevant metadata to model ... Proficiency in AutoCAD (2D drafting, layering, and annotation) and Revit (3D modeling, plan ...

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Seasonal Data Annotation Tech information

What is a Seasonal Data Annotation Tech?

A Seasonal Data Annotation Tech is a temporary employee who labels, tags, or categorizes data—such as images, audio, or text—to help train artificial intelligence and machine learning models. Their work ensures that algorithms can recognize patterns and make predictions accurately. These roles are typically available during peak business periods or large-scale data projects and often involve repetitive but detail-oriented tasks. Seasonal Data Annotation Techs usually work under supervision and may use specialized annotation tools or software. This job is important for improving the quality and reliability of AI systems.

Does data annotation tech really pay?

Data annotation technicians typically earn hourly wages that range from minimum wage to around $15-$20 per hour, depending on experience and the employer. Some positions offer bonuses or flexible schedules, but overall pay is generally modest compared to other tech roles. Compensation can vary based on the complexity of annotation tasks and the company's location.

How to get jobs on data annotation tech?

To get a job as a seasonal data annotation technician, build skills in data labeling, familiarize yourself with annotation tools like Labelbox or CVAT, and create a strong resume highlighting attention to detail and technical aptitude. Many companies hire through online job boards or directly on their websites, and having prior experience or certifications in data management can improve your chances.

What is the difference between Seasonal Data Annotation Tech vs Data Labeling Specialist?

AspectSeasonal Data Annotation TechData Labeling Specialist
CredentialsHigh school diploma or equivalent; training in annotation toolsHigh school diploma or equivalent; training in labeling software
Work EnvironmentTech companies, AI development teams, remote or on-siteTech firms, AI companies, remote or on-site
Industry UsageUsed during peak seasons for AI model trainingUsed for ongoing data labeling projects

Seasonal Data Annotation Tech typically works during specific peak periods to prepare data for AI models, often focusing on large batches. Data Labeling Specialists perform continuous data annotation tasks, often with more detailed labeling requirements. Both roles require familiarity with annotation tools but differ mainly in timing and project scope.

What are the key skills and qualifications needed to thrive as a Seasonal Data Annotation Tech, and why are they important?

To thrive as a Seasonal Data Annotation Tech, you need strong attention to detail, basic computer literacy, and familiarity with data labeling concepts, often supported by a high school diploma or equivalent. Experience with annotation platforms, spreadsheet software, and sometimes proprietary labeling tools is typically required. Reliability, time management, and the ability to follow precise instructions are standout soft skills in this role. These skills ensure accurate, high-quality data labeling, which is critical for training machine learning models and supporting AI development.

Is data annotation real or fake?

Data annotation is a real and essential process in machine learning and AI development, involving labeling data such as images, text, or audio to train algorithms. Data annotation jobs, including those for seasonal data annotation tech roles, require attention to detail and familiarity with annotation tools. The work is legitimate and widely used in the tech industry.

How hard is it to get a job with data annotation tech?

Securing a position as a seasonal data annotation technician typically requires basic computer skills, attention to detail, and sometimes familiarity with annotation tools. Many roles are entry-level and do not require advanced certifications, making them accessible to a wide range of applicants, though competition can vary based on demand and location.

What are the main challenges Seasonal Data Annotation Techs face during peak project periods?

Seasonal Data Annotation Techs often experience high workloads during peak project periods, which can involve processing large volumes of data under tight deadlines. Maintaining accuracy and consistency while labeling or categorizing data is crucial, as even small errors can impact the quality of machine learning models. Techs must also adapt quickly to changes in project guidelines and collaborate with team members to resolve ambiguities. Staying focused and managing repetitive tasks efficiently are key to success in this fast-paced environment.
What are the most commonly searched types of Data Annotation Tech jobs in Virginia? The most popular types of Data Annotation Tech jobs in Virginia are:
What are popular job titles related to Seasonal Data Annotation Tech jobs in Virginia? For Seasonal Data Annotation Tech jobs in Virginia, the most frequently searched job titles are:
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What cities in Virginia are hiring for Seasonal Data Annotation Tech jobs? Cities in Virginia with the most Seasonal Data Annotation Tech job openings:
Seasonal Data Annotation Tech jobs near you

Senior Data Scientist

Seekr

Reston, VA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 15 days ago

Job description

About the Opportunity:
We are looking for talentedData Scientists to join our team and deliver generative and predictive capabilities for US Government customers. The right candidate will work on the design, development, and deployment of AI/ML capabilities for various applications implementing generative AI and integrations with predictive capabilities (agentic workflows, LLM fine-tuning). Additionally, this person will be working on quick proof-of-concept solutions but also building in a generalized fashion to support longer term implementation.
From your first day, you will make a valuable contribution. We are a fast-growing company where no one is a bystander. We offer you the opportunity to make a meaningful impact for the US while designing and developing cutting-edge, novel capabilities.
Active US Security clearance or eligibility and willingness to obtain a US Security clearance. Top Secret with SCI eligibility highly preferred.
Duties and Responsibilities:
  • Design, implement, and deploy machine learning algorithms for USG customers
  • Design and develop prototype solutions incorporating both generative and predictive capabilities
  • Serve as the subject matter expert on cutting-edge generative techniques to enhance the government team's ability to produce meaningful insights
  • Design, implement, and manage machine learning data pipelines
  • Conduct research and development on agentic integration of capabilities and application to USG use cases
  • Interact directly with customers and subject matter experts, translating AI/ML concepts into practical language
  • Manage machine learning algorithm lifecycle
  • Support pre-sales efforts, identifying how the Seekr Platform could help satisfy customer requirements
  • Coordinate data collection and annotation efforts for supervised training efforts
  • Design and implement tests for machine learning algorithm effectiveness and performance monitoring
  • Research and development on cutting-edge machine learning technologies

Qualifications and Skills:
  • Graduate degree in Computer Science preferred with a strong background in machine learning required
  • Strong problem-solving abilities, solid background in algorithms and data structures required
  • Comfortable interacting with customers and subject matter experts, translating complex AI/ML concepts into practical language and impacts
  • Familiar with generative AI concepts like RAG, prompt engineering, agents, structured output, multi-modal LLMs, various embedding models
  • Strong programming skills in Python required. Experience in java and html a plus.
  • Experience working with or in the DoD, US Intelligence Community, or US Federal Civilian agencies
  • Solid knowledge of machine learning tools (eg. scikit-learn, tensorflow, keras, pytorch, Spark MLlib) required
  • Solid knowledge of LLM Frameworks such as LangChain, LlamaIndex,pydantic Transformers
  • Familiarity with common APIs including OpenAI, GraphQL, FastAPI
  • Familiarity with Databases and Retrieval Augmented Generation (RAG) technologies such as Pinecone, FAISS, OpenSearch, and Neo4j
  • Experience with interactive machine learning (eg. active learning, reinforcement learning, machine teaching) a plus but not required

About the Company:
Seekr is a leader in explainable and trustworthy artificial intelligence designed to power mission-critical decisions in enterprises, government, and regulated industries. SeekrFlow™, our end-to-end AI platform, provides secure, auditable AI solutions tailored to sectors where transparency, accuracy, and compliance are paramount. Available across cloud, on-premises, and edge environments, SeekrFlow reduces bias, strengthens data integrity, and simplifies model oversight so organizations can rely on trusted AI decisions in high-stakes settings that impact society's most sensitive and vital systems. Trusted by leading enterprises and government agencies, we partner with defense, finance, telecom, and critical infrastructure leaders to enable AI solutions that drive real-world results with unmatched transparency and control. We are a team of strategic thinkers and problem-solvers tackling the toughest challenges facing critical infrastructure and global enterprises through best-in-class AI models and customer deployment. Our team operates with unwavering commitment to our core values and mission:
  • We are driven by outcomes-our customers' success is what we strive for every day.
  • We believe trust is earned, which is why we build explainability and transparency into the entire AI lifecycle.
  • We take our responsibility to deliver secure AI seriously.
  • We believe innovation drives progress-we are building the technologies that power the systems our society depends on.

Company Benefits:
  • Meaningful Mission & Impact - Work with a deeply talented, collaborative team solving some of the toughest AI challenges that matter.
  • Equity Ownership - RSUs that let you share directly in Seekr's long-term success and growth.
  • Time Off That Respects Real Life - Unlimited PTO plus 14 paid company holidays to truly recharge.
  • Work Your Way - A flexible hybrid work environment with offices in Reston, VA and Austin, TX.
  • Competitive Total Rewards - A role-appropriate compensation structure that supports long-term growth, including base salary, bonuses, or commission plans depending on role.
  • 401(k) with Company Match - Build your future with a retirement plan that includes employer matching.
  • Comprehensive Health & Wellness - Medical, dental, vision, and life insurance coverage starting day one-for you and your family.
  • Parental Leave - Paid parental leave to support employees as they welcome a new child through birth, adoption, or foster placement.

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