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Part Time Ai Data Labeling Jobs in Washington (NOW HIRING)

Bechtel

Senior Data Scientist / AI Engineer

Reston, VA · On-site +1

$106K - $154K/yr

Telework Type: Part-Time Telework * Work Location: Reston, VA * Salary Range: $106,900 - $154,700 ... As a Senior Data Scientist on the AI Delivery Team, you will lead the design and delivery of end-to ...

micro1 AI

Legal AI Trainer - Remote

Washington, DC · Remote

$90 - $130/hr

Remote We are seeking seasoned Funds Attorneys for a part-time role at the forefront of legal AI ... Collaborate with product and research teams to refine data, guidelines, and best practices for AI ...

micro1 AI

Legal AI Trainer - Remote

Washington, DC · Remote

$80 - $105/hr

Remote We are seeking seasoned Funds Attorneys for a part-time role at the forefront of legal AI ... Collaborate with product and research teams to refine data, guidelines, and best practices for AI ...

Booz Allen Hamilton, Inc.

Data Scientist

Alexandria, VA · On-site +1

$77K - $176K/yr

... AI) or Machine Learning (ML) solutions * 2+ years of experience with statistical and general ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

Data Scientist

Mclean, VA · On-site +1

$99K - $225K/yr

Experience with engineering AI solutions, including accessing Large Language Model (LLM) APIs, self ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

Data Scientist

Mclean, VA · On-site +1

$99K - $225K/yr

Experience with engineering AI solutions, including accessing Large Language Model (LLM) APIs, self ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

Data Scientist

Arlington, VA · On-site +1

$77K - $176K/yr

... AI or NLP * Experience with translating complex data into a compelling narrative that informs and ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

Data Scientist

Arlington, VA · On-site

$77K - $176K/yr

... AI, or NLP * Experience analyzing structured and unstructured data sources * Experience with ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

Data Scientist

Chantilly, VA · On-site +1

$77K - $176K/yr

... AI, or NLP * Experience analyzing structured and unstructured data sources * Experience with ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

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All JobsAi Data Labeling JobsPart Time Ai Data Labeling JobsPart Time Ai Data Labeling Jobs in Washington

Part Time Ai Data Labeling information

What are the key skills and qualifications needed to thrive as a Part Time AI Data Labeling Specialist, and why are they important?

To thrive as a Part Time AI Data Labeling Specialist, you need attention to detail, basic computer literacy, and often a high school diploma or equivalent. Familiarity with labeling platforms, annotation tools, and sometimes experience with data management systems is typically required. Reliability, time management, and the ability to follow precise instructions are crucial soft skills for this role. These skills ensure high-quality, accurate datasets that support effective machine learning model development.

What is part-time AI data labeling?

Part-time AI data labeling involves annotating or categorizing data such as images, text, audio, or video to train and improve artificial intelligence and machine learning models. As a part-time data labeler, you work flexible hours to tag or classify data according to specific guidelines provided by a company or research team. This role is essential for creating high-quality datasets that help AI systems learn to recognize patterns, objects, or language. The work can often be done remotely and may require attention to detail and basic computer skills. Many companies hire part-time data labelers to handle large volumes of data efficiently.

What is the difference between Part Time Ai Data Labeling vs Part Time Data Annotation Specialist?

AspectPart Time Ai Data LabelingPart Time Data Annotation Specialist
CredentialsBasic computer skills, attention to detailSimilar, often no formal certification required
Work EnvironmentRemote, flexible hoursRemote or onsite, flexible schedule
Industry UsageAI, machine learning, tech companiesData management, research, tech sectors
Job FocusLabeling data for AI trainingAnnotating data for various applications

Part Time Ai Data Labeling and Part Time Data Annotation Specialist roles share similar credentials and work environments, often involving remote work and flexible hours. The main difference lies in the specific focus: AI Data Labeling emphasizes preparing data for machine learning models, while Data Annotation Specialists may work on broader data types for various purposes. Both roles are essential in data-driven industries and often overlap in skills and industry usage.

What are some common challenges faced by part-time AI data labelers, and how can they be effectively managed?

Part-time AI data labelers often encounter challenges such as repetitive tasks, maintaining high accuracy, and adapting to evolving labeling guidelines. To manage these, it's important to take regular breaks to prevent fatigue, stay updated on any changes to annotation protocols, and communicate with supervisors or team members when clarifications are needed. Leveraging available training resources and quality assurance feedback can also help improve performance and make the work more engaging. Collaboration with other labelers through team chats or forums can provide support and insights for handling tricky cases.
What are the most commonly searched types of Ai Data Labeling jobs in Washington? The most popular types of Ai Data Labeling jobs in Washington are:
What are popular job titles related to Part Time Ai Data Labeling jobs in Washington? For Part Time Ai Data Labeling jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Part Time Ai Data Labeling jobs in Washington look for? The top searched job categories for Part Time Ai Data Labeling jobs in Washington are:
Part Time Ai Data Labeling jobs near you
Infographic showing various Part Time Ai Data Labeling job openings in Washington as of July 2026, with employment types broken down into 75% Full Time, and 25% Part Time. Highlights an 75% In-person, and 25% Remote job distribution.

Business Development Representative - Commercial AI, Data & Technology Staffing

LKA & Associates LLC

Glen Burnie, MD • On-site

Part-time

Posted 23 days ago

Job description

Business Development Representative – Commercial AI, Data & Technology Staffing

Location: Remote; DMV preferred
Schedule: Part-Time Independent Contractor, approximately 15–20 hours per week
Compensation: Commission-Based with Milestone Incentives

About LKA Staffing

LKA & Associates, LLC, DBA LKA Staffing, is a minority woman-owned recruiting and talent acquisition consulting firm. We partner with commercial organizations, technology companies, research institutions, higher education organizations, and select healthcare clients to deliver specialized technical talent.

This role is focused exclusively on commercial business development and does not include public-sector solicitation review, proposal development, government capture, or cleared/MSP account management.

Our commercial recruiting focus includes AI/ML, GenAI, LLMs, AI automation, data engineering, cloud, DevOps, software engineering, cybersecurity, product, and emerging technology roles.

Position Overview

LKA Staffing is seeking an energetic, relationship-driven Business Development Representative to generate new commercial staffing and recruiting business.

This person will identify prospective clients, open conversations with decision-makers, qualify hiring needs, and help convert opportunities into signed client agreements and active job orders. The ideal candidate understands consultative staffing sales and can speak credibly with technology leaders about the talent needs supporting AI, data, engineering, automation, and digital transformation initiatives.

This role is focused exclusively on commercial business development. It does not include cleared staffing, government contracting, public-sector proposal work, or solicitation management.

Key Responsibilities

  • Prospect and develop new commercial clients with hiring needs in AI/ML, data, software engineering, cloud, DevOps, cybersecurity, automation, and related technology functions.
  • Build relationships with founders, CEOs, CTOs, CIOs, VPs of Engineering, Heads of Data/AI, HR leaders, talent acquisition leaders, and hiring managers.
  • Conduct outbound outreach through LinkedIn, email, phone, networking, referrals, and targeted digital campaigns.
  • Schedule and participate in discovery calls to understand client hiring needs, workforce plans, recruiting challenges, and urgency.
  • Present LKA Staffing’s recruiting, sourcing, contract, contract-to-hire, direct-hire, and talent acquisition consulting services.
  • Secure new client agreements, preferred vendor relationships, retained search engagements, recruiting projects, and active job orders.
  • Work with LKA leadership and delivery resources to ensure a smooth handoff once an opportunity becomes active.
  • Maintain accurate sales activity, contacts, client notes, follow-ups, and pipeline stages in the company CRM or tracking system.
  • Provide market intelligence on emerging hiring trends, client needs, competitor activity, and target industries.
  • Represent LKA Staffing with professionalism, sound judgment, confidentiality, and integrity.

Target Markets

  • AI/ML, GenAI, LLM, and AI automation companies
  • Data engineering, analytics, and data platform organizations
  • SaaS, cloud, DevOps, and software product companies
  • Cybersecurity and digital transformation firms
  • Healthcare technology, fintech, edtech, and research-driven companies
  • Growth-stage startups, mid-market companies, and established organizations expanding technical teams
  • Organizations needing contract, contract-to-hire, direct-hire, project recruiting, or talent acquisition consulting support

Required Qualifications

  • Demonstrated success in B2B sales, staffing sales, business development, account management, recruiting, or workforce solutions.
  • Strong written, verbal, presentation, and relationship-building skills.
  • Ability to prospect independently and manage a disciplined sales pipeline.
  • Experience working with senior business leaders, hiring managers, HR teams, or technical stakeholders.
  • Comfort conducting consultative discovery conversations and identifying real hiring needs.
  • Self-motivated, organized, and able to work effectively in a remote, commission-based environment.
  • High level of professionalism, integrity, and discretion.

Preferred Qualifications

  • Experience selling IT staffing, technical recruiting, professional services, SaaS, consulting, or workforce solutions.
  • Familiarity with AI/ML, GenAI, data engineering, cloud, DevOps, software engineering, cybersecurity, or technical hiring markets.
  • Existing network of commercial technology leaders, startup founders, HR leaders, or talent acquisition decision-makers.
  • Experience with staffing agreements, recruiting contracts, contract-to-hire, direct-hire, retained search, or managed recruiting services.
  • Familiarity with LinkedIn Sales Navigator, CRM systems, prospecting tools, and outbound sales campaigns.

Performance Expectations

Success in this role will be measured by the quality and progression of new commercial opportunities, including:

  • Qualified decision-maker conversations
  • Discovery meetings scheduled
  • New client agreements or preferred vendor relationships
  • Active job orders or recruiting projects
  • Revenue-generating placements and repeat client business

Compensation Structure

This is a 100% commission-based independent contractor role. Compensation will be tied to measurable business outcomes and defined in a written commission agreement before work begins.

Potential compensation milestones may include:

Milestone

Trigger

Compensation

Qualified New Client

A new client relationship results in a signed staffing, recruiting, consulting, or vendor agreement

Flat milestone fee or commission eligibility

Active Job Order

Client provides an active, qualified job order or recruiting project for LKA Staffing

Milestone payment or commission eligibility

Successful Placement

Candidate starts and completes the agreed guarantee or retention period

Percentage of placement fee, gross margin, or collected revenue

Contract-to-Hire Conversion

Contract worker converts to full-time employment

Additional commission based on conversion fee or collected revenue

Account Growth

Client provides repeat business, additional job orders, or expanded recruiting needs