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Remote Computational Linguistics Intern Jobs in Reston, VA

Anika Systems

AI Engineer

Leesburg, VA · Remote

This position is currently remote; however, in accordance with federal contract requirements and ... Science, Computational Linguistics, or a related field; Master's is a bonus. * Experience: 1 ...

All JobsComputational Linguistics Intern JobsRemote Computational Linguistics Intern JobsRemote Computational Linguistics Intern Jobs in Reston, VA

Remote Computational Linguistics Intern information

See Reston, VA salary details

$9

$17

$25

How much do remote computational linguistics intern jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for remote computational linguistics intern in Reston, VA is $17.72, according to ZipRecruiter salary data. Most workers in this role earn between $15.00 and $20.00 per hour, depending on experience, location, and employer.

What does a remote computational linguistics intern do?

A Remote Computational Linguistics Intern assists with research and development projects that combine computer science and linguistics, typically focusing on natural language processing (NLP) tasks. Their responsibilities may include coding algorithms, annotating linguistic data, analyzing language data sets, and supporting the development of language technologies such as speech recognition or machine translation systems. Interns usually collaborate with researchers and engineers, gaining hands-on experience in both computational methods and linguistic theory while working remotely.

How does a remote computational linguistics intern typically collaborate with team members across different locations and time zones?

As a Remote Computational Linguistics Intern, collaboration often happens through digital platforms like Slack, Zoom, and shared document tools. You'll participate in regular virtual meetings, code reviews, and discussions to align on project goals and share progress. Since team members may be in different time zones, clear communication and flexibility are important—expect to document your work thoroughly and occasionally adjust your schedule for group meetings. This structure allows interns to contribute meaningfully while building relationships with international colleagues and mentors.

What are the key skills and qualifications needed to thrive as a remote computational linguistics intern, and why are they important?

To thrive as a Remote Computational Linguistics Intern, you generally need a background in linguistics, computer science, or a related field, along with foundational knowledge in natural language processing (NLP) and programming languages such as Python. Familiarity with tools like NLTK, spaCy, TensorFlow, or PyTorch, as well as experience with data annotation and version control systems, is typically expected. Strong analytical thinking, attention to detail, and clear written communication are standout soft skills for collaborating remotely and interpreting linguistic data. These skills are essential for developing, testing, and refining language models and ensuring effective remote teamwork in computational linguistics projects.
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Remote Computational Linguistics Intern jobs near you
Infographic showing various Remote Computational Linguistics Intern job openings in Reston, VA as of August 2026, with employment types broken down into 51% Full Time, 20% Part Time, 2% Temporary, and 27% Contract. Highlights an 100% Remote job distribution, with an average salary of $36,866 per year, or $17.7 per hour.

AI Engineer

Anika Systems

Leesburg, VA • Remote

Full-time

Re-posted 9 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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