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Openai Remote Jobs in Frederick, MD (NOW HIRING)

Anika Systems

AI Engineer

Leesburg, VA · Remote

This position is currently remote; however, in accordance with federal contract requirements and ... OpenAI. * Experience designing agentic systems: multi-step workflows, retrieval-augmented ...

VIS IT Solutions Inc

Angular Developer

Dulles, VA · Remote

$56 - $68.50/hr

Remote - Design and build scalable, maintainable frontend systems using Angular (v16+). - Develop ... AI, OpenAI API). Desired: - Experience creating AI-assisted UX features such as chatbots ...

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Openai Remote information

What is an OpenAI Remote?

OpenAI remote jobs are positions offered by OpenAI that allow employees to work from locations outside of a traditional office setting. These roles can span a variety of fields such as research, engineering, operations, and more, enabling team members to collaborate virtually from anywhere in the world. OpenAI supports a flexible work environment and seeks to attract talent globally by offering remote opportunities. Applicants are still expected to meet certain criteria, such as time zone compatibility and strong communication skills. Remote employees typically interact with their teams through digital tools and regular virtual meetings.

What skills and qualifications are needed to thrive as an OpenAI Remote employee?

To thrive as an OpenAI Remote employee, you generally need strong expertise in artificial intelligence, machine learning, or software engineering, often supported by an advanced degree or significant industry experience. Familiarity with tools such as Python, PyTorch or TensorFlow, as well as version control systems like Git, is typically required. Exceptional communication, self-motivation, and the ability to collaborate effectively across time zones are crucial soft skills in a remote environment. These competencies ensure high productivity, seamless teamwork, and the ability to drive innovation in a distributed, fast-evolving field.

What challenges do OpenAI Remote employees face, and how does the company support remote collaboration?

Remote employees at OpenAI often face challenges such as maintaining clear communication across time zones, building strong connections with colleagues, and staying engaged with fast-paced project updates. To address these, OpenAI utilizes a range of collaboration tools, holds regular virtual meetings, and fosters a culture of transparency and support. The company also encourages asynchronous communication and provides resources to help remote team members feel included and aligned with organizational goals.

What is the difference between Openai Remote vs Data Scientist?

AspectOpenai RemoteData Scientist
Required CredentialsTypically requires knowledge of AI, machine learning, programming (Python), and sometimes a relevant degreeRequires a degree in statistics, computer science, or related fields; proficiency in data analysis tools
Work EnvironmentRemote, collaborative online platforms, flexible hoursOften remote or in-office, collaborative teams, project-based work
Industry UsageAI research, tech companies, startupsTech, finance, healthcare, consulting
Common Search & ComparisonYesYes

Openai Remote roles focus on AI and machine learning tasks, often requiring programming skills and familiarity with AI tools. Data Scientists analyze data to inform business decisions, requiring statistical and analytical expertise. While both roles may be remote and involve data or AI, Openai Remote positions are more specialized in AI development, whereas Data Scientists focus on data analysis across various industries.

Does ChatGPT have remote jobs?

OpenAI offers remote job opportunities, including roles related to ChatGPT development, research, and support. These positions often require skills in AI, machine learning, or software engineering and are typically available to applicants worldwide, depending on the role and location requirements.

What are the most commonly searched types of Openai jobs in Frederick, MD?

The most popular types of Openai jobs in Frederick, MD are:

What are popular job titles related to Openai Remote jobs in Frederick, MD?

For Openai Remote jobs in Frederick, MD, the most frequently searched job titles are:

What job categories do people searching Openai Remote jobs in Frederick, MD look for?

The top searched job categories for Openai Remote jobs in Frederick, MD are:

What cities near Frederick, MD are hiring for Openai Remote jobs?

Cities near Frederick, MD with the most Openai Remote job openings:

Openai Remote jobs near you
Infographic showing various Openai Remote job openings in Frederick, MD as of August 2026, with employment types broken down into 92% Full Time, and 8% Contract. Highlights an 72% Physical, 7% Hybrid, and 21% Remote job distribution.

AI Engineer

Anika Systems

Leesburg, VA • Remote

Full-time

Re-posted 20 days ago

Job description

Anika Systems is an outcome-driven technology solutions firm that guides federal agencies in solving complex business challenges and preparing for the future. Our services span AI Strategy, Data Intelligence, AI & Machine Learning, Intelligent Automation, Enterprise Platforms and Engineering, with a specialized focus on National Security and Federal Financial programs. We are dedicated to delivering forward-thinking solutions that accelerate the critical missions of our government clients. Through our VITAL Innovation Lab, we invest heavily in research and development to anticipate mission needs and deliver cutting edge solutions. 
This position is currently remote; however, in accordance with federal contract requirements and company policy, there may be future changes to work location expectations. Candidates should be prepared for the possibility of a return to the office, either partially or fully, based on client directives, contractual obligations, or company policies. Any such changes will be communicated in advance.
Must be a U.S. Citizen with the ability to obtain and maintain a government suitability clearance.
The AI Engineers will design and deliver production AI systems across our commercial platform
work and our federal modernization programs. This is a hands-on builder role on a small, senior team. Engineers
own work end-to-end including data, model integration, services, UI, infrastructure, security, and deployment.  You will be expected to make sound technical calls under federal compliance, security, and procurement constraints.
Requirements:
  • Education: Bachelor’s Degree in Computer Science, Computer Engineering, Data Science, Computational Linguistics, or a related field; Master’s is a bonus. 
  • Experience: 1-3 years of professional experience building and shipping ML or NLP systems, including focus on LLM based or Generative AI solutions. 
  • Strong production experience in Python and TypeScript, with modern web frameworks on both sides (e.g. FastAPI, React).
  • Hands-on integration of LLMs into real applications — streaming, tool / function calling, token accounting, and failure handling — across at least one of OpenAI, Anthropic, Bedrock, Vertex, or Azure OpenAI.
  • Experience designing agentic systems: multi-step workflows, retrieval-augmented generation, evaluation, and human-in-the-loop guardrails.
  • Solid relational data modeling on PostgreSQL with an async ORM and migration tooling.
  • AWS fluency (compute, storage, IAM, secrets, networking, observability) and infrastructure-as-code, ideallyTerraform.
  • Practical understanding of OAuth / OIDC, JWT, RBAC, multi-tenant isolation, and least-privilege design.
  • Disciplined testing, linting, and type-checking habits; reviewable diffs and clear written communication.

Preferred Skills
  • Federal program exposure: NIST 800-53, FedRAMP, FISMA, ATO process, or agency-specific data-handling requirements.
  • Experience with Keycloak or another OIDC provider, RLS-based multi-tenancy, or zero-trust application design.
  • Working knowledge of a data/lakehouse platform (Databricks, Snowflake) and SQL beyond CRUD.
  • Document AI / OCR pipelines and modernization of legacy enterprise workflows.
  • Production observability (CloudWatch, OpenTelemetry, Grafana) and incident-response experience.
  • Supply-chain hardening: SBOMs, dependency scanning, signed builds, threat modeling.

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