Top 8 Computational linguistics Jobs in Remote

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AI Engineer
Anika Systems —Remote
- Full-time
- Azure
- Computer Science
- Mid-level
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Machine Learning Engineer
Lyntris —Remote
- Full-time
- Remote
- Computer Science
- Military
- Office
- Health savings account
- Paid holidays
NLP Engineer
Optum —San Diego, CA
- $72,800 - $130,000 a year
- Full-time
- Remote
- Computer Science
- Pass drug screening
- 3 years
Data Scientist
SOURCEFLY LLC —Remote
- Full-time
- Hybrid work
- 7 years
- Computer Science
- AWS
Audio AI Engineer
Dev Technology —Reston, VA
- $80,000 - $160,000 a year
- Remote
- Computer Science
- Mid-level
- SQL
- Paid training
- Commuter assistance
11d
Vice President, Data Science
Five9 —Remote
- $233,000 - $512,000 a year
- Remote
- Computer Science
- 11+ years
- Master's degree
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中文转录员(AI训练师)- Mandarin Transcriber (AI Trainer)
Babel Audio —Los Angeles, CA
*关于 Babel Audio* Babel Audio 与领先的科技公司合作，收集用于训练前沿 AI 模型的高质量语音数据。我们与全球数千名参与者合作，搜集真实的人类对话，帮助 AI 更好地理解人类并使用更与人性化的方式与人类交流。 *关于该职位* Babel Audio 正在寻找注重细节的转录员…
$110 an hour
10d
Senior Research Scientist - AI Trainer
DataAnnotation —Montclair, NJ
A bachelor's degree in a quantitative field is preferred (Statistics, Computer Science, Mathematics, Engineering, or similar); a master's or PhD is a plus.
$50 - $100 an hour
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computational linguistics jobs near remote

AI Engineer

Anika Systems -
Remote

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Job Details

Full-time

Qualifications

AI models
AWS IAM
Data model design
Cloud identity and access management (IAM)
Systems integration
Software engineering
Data Integration (Data management)
Azure
Data modeling projects
Data migration
OAuth 2.0
Infrastructure as Code (IaC)
Testing and evaluation
Application deployment
Schema design
Enterprise software systems development
JavaScript frameworks
SQL
Machine learning cloud services
Machine intelligence
Bachelor's degree
Model deployment
Access control implementation
Data access controls implementation
Design engineering
Computer networking
Cloud networking
Front-end component implementation
Cloud automation
Cloud solution engineering

Full 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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