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Remote Natural Language Processing Jobs (NOW HIRING)

Weekday AI

Machine Learning & NLP Expert

$80 - $110/hr

... remote opportunity requiring approximately 20 hours per week . Requirements Key Responsibilities * Design challenging, real-world machine learning and natural language processing tasks covering areas ...

Jobgether

Design, develop, and implement cognitive search solutions using natural language processing and ... Benefits: * Fully remote working environment with flexibility to work from anywhere in Europe.

Clover Health

Senior Machine Learning Engineer

$125K - $165K/yr

Clover uses Machine Learning/Natural Language Processing to leverage our data to help keep ... Additionally, we embrace a remote-first culture that supports collaboration and flexibility ...

Photon

Developer | Kore.AI | Dallas

Addison, TX · On-site +1

Implement natural language processing (NLP) and natural language understanding (NLU) capabilities to enable intelligent and context-aware conversations. * Ensure code quality and adherence to best ...

Photon

Lead Developer | Kore.AI | Dallas

Addison, TX · On-site +1

$112K - $140K/yr

Implement natural language processing (NLP) and natural language understanding (NLU) capabilities to enable intelligent and context-aware conversations. * Ensure code quality and adherence to best ...

SAIC

Data Scientist

Mclean, VA · On-site +1

$200K - $240K/yr

... for Remote Work: ORA_ON_SITE Description SAIC is seeking a Data Scientist to join our team to provide Subject Matter expertise and support specializing in natural language(NLP) processing and ...

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Remote Natural Language Processing information

What is a remote natural language processing job?

A Remote Natural Language Processing (NLP) job involves working with computer systems that can understand, interpret, and generate human language. Professionals in this field typically develop algorithms and models to process text or speech, enabling applications like chatbots, translation services, sentiment analysis, and more. Working remotely means that all tasks, collaboration, and communication are conducted online, allowing flexibility in location. This role usually requires a background in computer science, linguistics, or data science, along with experience in machine learning and NLP frameworks.

What are some common challenges faced by professionals working remotely in natural language processing roles, and how can they be addressed?

Professionals in remote Natural Language Processing (NLP) roles often face challenges such as effective communication with distributed teams, staying updated with fast-evolving NLP technologies, and managing large datasets securely. To address these, it's important to establish regular check-ins with team members, participate in virtual communities and training, and use secure, cloud-based collaboration tools for data handling. Proactively engaging in code reviews and knowledge-sharing sessions also helps maintain alignment and fosters innovation within remote NLP teams.

What are the key skills and qualifications needed to thrive as a remote natural language processing specialist, and why are they important?

To thrive as a Remote Natural Language Processing (NLP) Specialist, you need strong expertise in linguistics, programming (especially Python), and a solid foundation in machine learning, typically supported by a relevant degree in computer science or computational linguistics. Familiarity with NLP frameworks and libraries such as NLTK, spaCy, and TensorFlow, as well as experience working with cloud platforms and version control systems, is essential. Excellent problem-solving abilities, communication skills, and the capacity to work independently are vital soft skills for remote collaboration and project delivery. These skills ensure the development of effective language models and applications, smooth team communication, and the ability to meet project goals in a remote environment.

What is the difference between Remote Natural Language Processing vs Remote Data Scientist?

AspectRemote Natural Language ProcessingRemote Data Scientist
Required credentialsDegree in Computer Science, Data Science, or Linguistics; experience with NLP toolsDegree in Data Science, Statistics, or related fields; programming skills
Work environmentFocus on language data, text analysis, NLP modelsBroader data analysis, statistical modeling, machine learning
Employer usageTech companies, AI startups, research institutionsTech firms, finance, healthcare, consulting
Search intentJobs involving language processing, NLP projectsData analysis, predictive modeling, data-driven insights

Remote Natural Language Processing specialists focus on developing and implementing language-based AI models, while Remote Data Scientists work on analyzing diverse data sets to inform business decisions. Both roles require strong technical skills, but NLP roles are more specialized in language data, whereas Data Scientists handle a broader range of data types.

What cities are hiring for Remote Natural Language Processing jobs? Cities with the most Remote Natural Language Processing job openings:
What are the most commonly searched types of Natural Language Processing jobs? The most popular types of Natural Language Processing jobs are:
What states have the most Remote Natural Language Processing jobs? States with the most job openings for Remote Natural Language Processing jobs include:
Remote Natural Language Processing jobs near you

Natural Language Measurement Specialist

College Board

Remote

Full-time

Posted 9 days ago

Job description

Natural Language Specialist, Educational Measurement & AI
College Board - Learning & Assessment
Location:
  • This is a remote role. Candidates who live near CB offices have the option of being fully remote or hybrid (Tuesday and Wednesday in office). All CB employees are required to occasionally travel to meet in person for business purposes.

Role Type:
  • This is a full-time position

About the Team
The Automated Scoring team provides critical insights and tools to support the design, delivery, and continuous improvement of digital assessments. We operate at the intersection of educational measurement, data science, and emerging AI technologies. Our work spans the measurement of language-based constructs, the development of large language model (LLM) systems for feedback generation and annotation, and research to ensure the validity, fairness, and reliability of our systems.
We are a collaborative, mission-driven team that values both psychometric rigor and technical expertise. We combine modern machine learning approaches, including large language models, with strong measurement principles to create scalable, trustworthy solutions that expand opportunity for students.
About the Opportunity
As a Natural Language Specialist, you will help define and advance how language-based performance is measured in high-stakes educational settings. This role sits at the intersection of natural language processing, large language models, and educational measurement, and is ideal for someone who pairs strong measurement training with a working knowledge of modern AI.
You will translate measurement constructs into LLM-based feedback and annotation systems, design and conduct the studies that establish their validity, fairness, and reliability, and ensure that what our models produce holds up to rigorous psychometric standards. You will serve as the measurement authority for cross-functional partners-psychometricians, engineers, and data scientists-shaping how language-based constructs are defined, evaluated, and applied across the team's portfolio of systems. Your primary lens will be measurement: defining what feedback and annotations mean, evidencing that they mean it, and improving them over time.
In this role, you will:
Natural Language Measurement & Psychometrics (40%)
  • Define and operationalize language-based constructs for automated annotation and feedback generation

  • Apply psychometric principles-reliability, validity, dimensionality, and measurement invariance-to LLM-based feedback and annotation systems

  • Design and lead validity studies, including human-machine agreement, rater comparison, and fairness analyses across subgroups

  • Develop and apply methods for detecting and mitigating bias in language-based scores

  • Establish/Recommend annotation guidelines, feedback quality criteria, and standards for acceptable model performance

  • Translate measurement requirements into specifications that guide model development and evaluation

LLM & AI Development (30%)
  • Contribute to prompt design, fine-tuning, and evaluation of LLM-based feedback and annotation systems

  • Develop and refine machine learning models for measuring language-based constructs

  • Build evaluation frameworks that connect model behavior to measurement outcomes

  • Collaborate with senior team members to translate measurement findings into production systems

  • Implement high-quality, maintainable code for model development and evaluation

Research & Validation (10%)
  • Lead and contribute to research studies that evaluate model performance and support assessment validity

  • Apply statistical and psychometric methods to analyze results and inform model improvements

  • Document methodologies and findings in a clear and rigorous manner

  • Stay current with advances in educational measurement, NLP, and learning science

Data Engineering & Pipelines (10%)
  • Prepare and curate datasets for measurement studies and model evaluation

  • Support reproducible data processing workflows for training, evaluation, and monitoring

  • Partner with engineers to integrate feedback and annotation models into scalable systems

Team Operations & Collaboration (10%)
  • Collaborate closely with psychometricians, data scientists, and engineers

  • Contribute to documentation, methodological standards, and team best practices

  • Participate in peer reviews and knowledge sharing

  • Actively raise the measurement literacy of the broader team-mentoring junior ICs, providing technical feedback on colleagues' work, and building shared standards

About You
You bring strong measurement training and a genuine interest in how modern AI can be used to measure language-based performance. You are excited about applying psychometric rigor to large language models in high-stakes educational settings.
You have:
  • A Master's or PhD (or near completion) in a quantitative field such as Psychometrics, Educational Measurement, Quantitative Psychology, Statistics, Data Science, or a related discipline (measurement-focused training strongly valued)

  • A solid foundation in measurement theory, including reliability, validity, and fairness; familiarity with IRT, generalizability theory, or related frameworks is highly desirable

  • Experience analyzing language or text data, with exposure to NLP or large language models

  • Programming skills in Python and familiarity with data science libraries (e.g., pandas, NumPy, PyTorch)

  • Demonstrated ability to conduct rigorous research (e.g., thesis, publications, or applied research projects)

  • Strong skills in statistical analysis and experimental design

  • Familiarity with working with structured and unstructured data

  • Strong attention to detail and a commitment to producing high-quality, reproducible work

  • The ability to travel 5-10 times a year to College Board offices or on behalf of College Board business.

You are:
  • Curious and eager to learn new tools, methods, and domains

  • Thoughtful about the implications of AI systems, including fairness and validity

  • Able to communicate technical and measurement concepts clearly to diverse audiences

  • Comfortable working in a collaborative, cross-functional environment

  • Motivated by mission-driven work in education

All roles at College Board require:
  • A passion for expanding educational and career opportunities and mission-driven work

  • Curiosity and enthusiasm for emerging technologies, with a willingness to experiment with and adopt new AI-driven solutions and comfort with learning and applying new digital tools independently and proactively.

  • Clear and concise communication skills, written and verbal

  • A learner's mindset and a commitment to growth: welcoming diverse perspectives, giving and receiving timely, respectful feedback, and continuously improving through iterative learning and user input.

  • A drive for impact and excellence: solving complex problems, making data-informed decisions, prioritizing what matters most, and continuously improving through learning, user input, and external benchmarking.

  • A collaborative and empathetic approach: working across differences, fostering trust, and contributing to a culture of shared success

  • Authorization to work in the United States

About Our Process
  • Application review will begin immediately and will continue until the position is filled. This role is expected to accept applications for a minimum of 5 business days.

  • While the hiring process may vary, it generally includes: resume and application submission, recruiter phone/video screen, hiring manager interview, performance exercise such as live coding, a panel interview, a conversation with leadership and reference checks.

What We Offer
At College Board, we offer more than a paycheck- we provide a meaningful career, a supportive team, and a comprehensive package designed to help you thrive. We're a self-sustaining nonprofit that believes in fair and competitive compensation grounded in your qualifications, experience, impact, and the market.
A Thoughtful Approach to Compensation
  • The hiring range for this role is $88,000-$145,000.

  • Your exact salary will depend on your location, experience, and how your background compares to others in similar roles at the College Board.

  • We aim to make our best offer upfront, rooted in fairness, transparency, and market data.

  • We adjust salaries by location to ensure fairness, no matter where you live.

You'll have open, transparent conversations about compensation, benefits, and what it's like to work at College Board throughout your hiring process. Check out our careers page for more.

Apply