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Afternoon Ai Data Entry Jobs in Reston, VA (NOW HIRING)

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Afternoon Ai Data Entry information

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How much do afternoon ai data entry jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for afternoon ai data entry in Reston, VA is $20.26, according to ZipRecruiter salary data. Most workers in this role earn between $17.02 and $22.74 per hour, depending on experience, location, and employer.

What is an Afternoon AI Data Entry?

Afternoon AI Data Entry jobs involve inputting, organizing, and managing data—often during afternoon hours—using computer systems enhanced by artificial intelligence tools. These positions typically require individuals to review, verify, and update information, ensuring accuracy and efficiency, sometimes with the help of AI-assisted automation. The role may also include tasks like labeling data for machine learning models or monitoring AI-driven data processes. Candidates are usually expected to have basic computer skills, attention to detail, and sometimes familiarity with AI platforms or data management software.

What are the key skills and qualifications needed to thrive as an Afternoon AI Data Entry professional?

To thrive as an Afternoon AI Data Entry professional, you need strong attention to detail, fast and accurate typing skills, and basic computer proficiency, often supported by a high school diploma or equivalent. Familiarity with data entry software, spreadsheets (such as Microsoft Excel or Google Sheets), and AI-driven data management platforms is commonly required. Reliability, time management, and the ability to work independently are standout soft skills in this role. These skills ensure data integrity, efficient workflow, and dependable support for AI-driven business operations.

What are some common challenges faced in an Afternoon AI Data Entry role, and how can they be managed effectively?

One common challenge in an Afternoon AI Data Entry role is maintaining high accuracy while entering large volumes of data, especially when working with AI-generated information that may require careful validation. Additionally, adapting to evolving data entry systems and software can be demanding, as updates and new tools are frequently introduced to improve efficiency. Effective time management and attention to detail are crucial, as afternoon shifts may involve tight deadlines or overlap with end-of-day reporting. Collaborating closely with team members and supervisors, as well as utilizing available training resources, can help manage these challenges and ensure consistent performance.

What is the difference between Afternoon Ai Data Entry vs Evening Ai Data Entry?

AspectAfternoon Ai Data EntryEvening Ai Data Entry
Work HoursTypically 12 PM - 6 PMUsually 6 PM - 12 AM
Work EnvironmentOffice or remote, quiet settingRemote or flexible, quieter at night
Required SkillsData entry, basic AI understandingData entry, attention to detail, AI familiarity
Industry UsageCommon in tech and data companiesUsed in similar industries, flexible scheduling

Afternoon Ai Data Entry and Evening Ai Data Entry roles are similar in skills and industry but differ mainly in work hours. Afternoon roles are suited for those preferring daytime work, while evening roles cater to night owls or those with daytime commitments. Both positions involve data entry tasks with AI tools, making them comparable in responsibilities and environment.

What cities near Reston, VA are hiring for Afternoon Ai Data Entry jobs?

Cities near Reston, VA with the most Afternoon Ai Data Entry job openings:

Infographic showing various Afternoon Ai Data Entry job openings in Reston, VA as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $42,139 per year, or $20.3 per hour.

Senior AI Engineer/ Data Scientist

High Side Technology

Springfield, VA • On-site

Full-time

Re-posted 24 days ago


Job description

Job Summary:
High Side Technology is seeking a Senior AI Engineer/Data Scientist to work on government sites as part of a distributed multi-disciplinary team. This role involves providing AI data science and engineering expertise, developing and managing ML/AI models, and coordinating with various stakeholders to enhance analytic workflows for defense and intelligence missions.
Responsibilities:
• Provide AI data science and engineering expertise to advise the DDI program, assisting the agency’s development and management of ML/AI and agents to augment the analytic workflows of analysts addressing DoD/IC mission priorities.
• Employ various programming algorithms to build, test and deploy ML/AI models and agentic AI capabilities.
• Coordinate with other team members, developers, analysts, and scientists.
• Create and manage the AI development process and overall product infrastructure.
• Conduct statistical analysis and interpret the results to guide an organization's decision-making process.
• Develop infrastructures for data transformation and ingestion and automate important infrastructure for analysts and scientists.
• Build AI models that make predictions based on large quantities of data.
• Explain the usefulness of the AI models to a wide range of individuals within the organization, including collaborators and product managers.
• Develop APIs to interact with other applications.
• Establish complete and accurate system-level functional/performance requirements that are clear, traceable from strategic capabilities to validated customer and operations needs/requirements, and consistent with the program’s architecture objectives and acquisition strategy.
• Define, plan, coordinate, and guide various technical initiatives (e.g. performance analysis, feasibility studies, constraint evaluation, cost/benefit analysis) for execution of system-level functional requirements definition and resolution of interface issues.
• Provide technical coordination, architecture guidance, and support for DDI project development.
• Define the milestones and control gate success criteria and evaluate entry/exit readiness during design reviews and audits to ensure protection of baselines and to assist in risk identification and resolution.
• Plan and coordinate data management practices to treat and handle data as a resource.
• Assist Government principals in managing system development and deployment efforts, moves or modernization changes including analysis, IT and cloud requirements, network security measures, and other factors.
Qualifications:
Required:
• United States citizenship required
• Top Secret/SCI security clearance or current Top Secret SSBI with TS/SCI eligibility required; counterintelligence (CI) polygraph may be required
• Bachelor’s degree in a relevant technical field
• 8+ years of experience
Preferred:
• Master’s degree or higher in Engineering, Computer Science, Information Technology, Management Information Systems, or related STEM degree
• Expert-level experience in government or industry in ML/AI and agentic development
• Experience Integrating solutions using ML/AI technologies
• Demonstrated senior level experience leading technical integration efforts
• Demonstrated senior level experience leading multi-system integration efforts through requirements definition, development, testing and transition
• Proficiency in Python (FastAPI library familiarity is a plus)
• Familiarity with CI/CD practices using GitLab or similar tools
• Familiarity with RESTful APIs and microservices architecture
• Experience with database management, PostGres, ElasticSearch
• Knowledge of containerization (Docker, Kuberne3tes, Openshift, Helm)
• Experience with version control systems, especially Git and platforms like GitLab for CI/CD
• Proficiency in frontend frameworks (React)
• Strong knowledge of HTML, CSS, and JavaScript
• Experience with state management libraries (Redux, MobX) we are using Redux for state management right now
• Understanding of UI/UX principles
• Familiarity with CI/CD practices using GitLab or similar tools
• Experience with processes, tools, and languages pertaining to ML/AI development
• Experience engineering solutions using structured and unstructured Big Data, AI, and Cloud-based technologies
• Demonstrated senior level experience integrating Geospatial Intelligence systems
• Demonstrated senior level experience in AI engineering and integration of large complex system of systems of service-centric/Cloud environments
Company:
High Side Technology provides engineering, technical, programmatic, and operational military services. Founded in 2014, the company is headquartered in Charleston, USA, with a team of 11-50 employees. The company is currently Early Stage.