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Ai Data Annotation Remote Jobs in Baltimore, MD (NOW HIRING)

Moore is the largest nonprofit marketing, data, and fundraising company in North America - 5,000 ... AI/ML or agentic systems * Location: Remote (US). Occasional travel for team offsites and customer ...

New

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 ...

Lead Data Engineer

Baltimore, MD · On-site +1

$113K - $136K/yr

Rowe Price's data and AI capabilities. * Troubleshoot and optimize data solutions and platform ... Work Flexibility This role is eligible for full time remote work.

Data Engineer II

Columbia, MD · On-site +1

$93K - $100K/yr

This role leads innovation efforts around cutting-edge AI, owning the architecture and strategy for ... Working Environment : eSimplicity supports a remote work environment operating within the Eastern ...

This role leads innovation efforts around cutting-edge AI, owning the architecture and strategy for ... Working Environment : eSimplicity supports a remote work environment operating within the Eastern ...

Showing results 41-60

Ai Data Annotation Remote information

What is an AI data annotation remote?

An AI Data Annotation Remote job involves labeling, tagging, or categorizing data used to train artificial intelligence models. Annotators work with text, images, audio, or video to ensure machine learning algorithms receive accurate and high-quality input. This role is performed remotely, allowing flexibility in work location and schedule. Attention to detail, consistency, and familiarity with annotation tools are essential skills for this job.

What does a typical day look like for someone working remotely in AI data annotation?

A typical day for a remote AI Data Annotation worker involves reviewing and labeling various types of data such as images, text, or audio according to specific guidelines provided by the employer or project lead. You may use specialized annotation software and work through batches of data while following quality standards and deadlines. Periodic team check-ins or virtual meetings help clarify instructions, address questions, and monitor progress. While most of the work is independent, communication with supervisors or quality assurance teams is important to ensure that data labeling is consistent and accurate.

What are the key skills and qualifications needed to thrive in the AI data annotation remote position, and why are they important?

To thrive as an AI Data Annotation Remote worker, you need strong attention to detail, familiarity with data labeling processes, and a basic understanding of machine learning concepts, often supported by a high school diploma or relevant experience. Familiarity with data annotation platforms such as Labelbox, Supervisely, or AWS SageMaker Ground Truth is typically required, and certifications in data annotation or AI may be advantageous. Strong time management, the ability to work independently, and clear communication skills are valuable in this remote role. These abilities ensure accurate and efficient data labeling, which is critical for training reliable AI models.

What are the most commonly searched types of Ai Data Annotation jobs in Baltimore, MD? The most popular types of Ai Data Annotation jobs in Baltimore, MD are:
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Infographic showing various Ai Data Annotation Remote job openings in Baltimore, MD as of August 2026, with employment types broken down into 53% Full Time, 18% Part Time, 4% Temporary, and 25% Contract. Highlights an 100% Remote job distribution.

Lead Agentic AI Engineer - Remote US

Moore

Lanham, MD • Remote

$165K - $175K/yr

Full-time

Medical, PTO

Posted 2 days ago

New


Job description

Small nonprofits change the world every day - feeding neighbors, rescuing animals, tutoring kids, protecting rivers. But most of them are fundraising with spreadsheets, gut instinct, and a development director who wears six other hats.

SimioAccelerate is the product that changes that.

Moore is the largest nonprofit marketing, data, and fundraising company in North America - 5,000 people, billions of data points, decades of expertise. SimioAccelerate is our agentic AI fundraising platform for small and mid-size nonprofits. Our AI agents identify the right donors, craft personalized engagement strategies, and execute multi-step fundraising workflows autonomously - so fundraisers can focus on relationships instead of busywork.

We're looking for a Lead Agentic AI Engineer to own the technical core of this platform. This isn't "add AI to an existing product." You're building the agent infrastructure from the ground up - systems that reason about donor data, plan outreach sequences, integrate with fundraising platforms, and improve themselves through feedback loops.

Your agents will manage real donor relationships at scale, which means they need to be reliable, explainable, and smart enough to know when to hand off to a human. You'll write code every day, but you'll also set the technical direction for the team, make architecture calls that shape the product, and work directly with fundraising organizations to understand what they actually need.

Check outwww.WeAreMoore.com for more information.

This is a full-time, salaried position open to candidates in the US who are eligible to work without current or future sponsorship.

This position is remote within the US.

The salary range for this role is $165,000-175000, depending on skills and expertise.

Your Impact:

  • Design and build multi-agent systems that automate fundraising workflows - donor research, outreach personalization, and campaign optimization.
  • Architect the platform's agent orchestration layer: how agents plan, delegate, coordinate, hold state, and recover from failures.
  • Create evaluation and observability systems so we can measure agent performance, catch failures before donors see them, and continuously improve.
  • Drive the technical roadmap - evaluate new models, frameworks, and approaches as this space evolves.
  • Mentor engineers, run design reviews, and establish the patterns and standards the team builds on.

Your Profile:

  • 6+ years building production SaaS software, with 2+ years in AI/ML or agentic systems.
  • You've shipped agents that real users depend on - not just proofs of concept.
  • Deep Python chops. Comfortable across the modern AI stack: LLM APIs, retrieval systems, vector databases, embeddings, orchestration.
  • You think about agents as systems, not prompts - state management, tool use, failure modes, evaluation, and guardrails are how you think about reliability.
  • Experience integrating AI with enterprise systems (APIs, databases, CRMs) - you know the messy reality of making agents work inside existing tech stacks.
  • You've led technical initiatives and made other engineers better through mentorship, code review, and setting standards.

Bonus points:

  • Background in fundraising, nonprofit tech, or donor engagement platforms.
  • Experience building evaluation frameworks for non-deterministic systems.
  • Contributions to open-source AI projects.
  • Experience working on or around marketing technology platforms (e.g., CRM, marketing automation, SMS, or email platforms).

Why This Role Is Different:

  • You're not starting from scratch. Moore has 5,000 people, hundreds of nonprofit clients, and decades of fundraising data. SimioCloud's cooperative database has hundreds of millions of donor profiles.
  • You'll see your impact. When your agents help a food bank raise 20% more, that translates directly into families fed. The feedback loop between product and mission is immediate and real.

Experience:

  • 6+ years in software engineering, with meaningful time building AI/ML or agentic systems
  • Location: Remote (US). Occasional travel for team offsites and customer visits.

How We'll Support You:

  • Jointhe largest marketing and fundraising company in North America serving the nonprofit industry where we prioritize innovation and professional growth.
  • Collaborate with industry subject matter experts with over 5,000 employees across the enterprise.
  • To help you stay energized, engaged and inspired, we offer a wide range of benefits including comprehensive healthcare, paid holidays and generous paid time off so you can have the time and space to recharge and pursue your other passions and be with the people you care about.
  • Moore is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

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