ZipRecruiter

Log In

1

Freelance Natural Language Processing Jobs (NOW HIRING)

Conversica, Inc

Data Scientist

Seattle, WA · On-site

Conversica is seeking talented and passionate data scientists to help us evolve our artificial intelligence, machine learning and natural language processing systems and technologies. YOUR ...

Overture Partners

Prompt Engineer- Pipeline

Our team values creativity, expertise in natural language processing, and a passion for developing intelligent and responsive AI systems. We are looking for a talented Prompt Engineer to join our ...

Jobtailor

Forward Deployed Engineer

California, MO · On-site

Apply natural language processing techniques to improve text analytics * Participate in client support activities addressing data and technology challenges * Work with stakeholders across internal ...

1872 Consulting

Data Science Manager

Santa Clara, CA · On-site

Required : • 6+ of software industry experience in Data Science or Natural Language Processing • 2+ years of experience in managing technical teams or track record of technical leadership ...

SonSoft Inc.

Sr. Data Scientist

Newark, NJ · On-site

They are seeking a Senior Data Scientist with extensive experience in machine learning algorithms and strong skills in Text Mining and Natural Language Processing. Responsibilities : • 10 to 15 ...

previous pagenext page

Showing results 21-40

All JobsFreelance JobsFreelance Natural Language Processing Jobs

Freelance Natural Language Processing information

See salary details

$14

$47

$132

How much do freelance natural language processing jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for freelance natural language processing in the United States is $47.71, according to ZipRecruiter salary data. Most workers in this role earn between $24.28 and $61.78 per hour, depending on experience, location, and employer.

What is a freelance natural language processing specialist?

A Freelance Natural Language Processing (NLP) specialist is an independent professional who works on projects involving the interaction between computers and human language. They use techniques from linguistics, computer science, and artificial intelligence to develop systems that can understand, interpret, and generate human language. Freelance NLP specialists typically work on tasks such as text analysis, machine translation, chatbots, sentiment analysis, and speech recognition for various clients or organizations. Their work often involves using programming languages like Python and tools such as TensorFlow or spaCy.

What skills and qualifications are needed to thrive as a freelance natural language processing specialist?

To thrive as a Freelance Natural Language Processing Specialist, you need a solid background in computational linguistics, machine learning, and programming (Python is essential), typically supported by a relevant degree or demonstrated project experience. Proficiency with NLP libraries and frameworks like NLTK, spaCy, TensorFlow, and familiarity with tools such as Jupyter Notebook or cloud platforms is highly valued. Strong problem-solving, communication, and self-management skills help freelancers stand out by enabling effective client collaboration and project delivery. These competencies are crucial for producing accurate, efficient NLP solutions and maintaining a successful freelance business.

What are common challenges freelance natural language processing professionals face when working with clients?

Freelance NLP professionals often encounter challenges such as clearly defining project goals, managing client expectations regarding data quality and model performance, and ensuring access to adequate datasets. Since projects can range from text classification to chatbot development, freelancers must communicate technical constraints and timelines effectively with non-technical stakeholders. Balancing multiple projects and staying updated with evolving NLP technologies are also key aspects of the role, requiring strong time management and continuous learning.

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

AspectFreelance Natural Language ProcessingData Scientist
CredentialsTypically requires expertise in NLP, programming, and data analysis; certifications are optionalOften requires degrees in data science, statistics, or related fields; certifications can be beneficial
Work EnvironmentIndependent, project-based, remote or freelance settingsFull-time or contract roles within organizations, often in office or remote
Industry UsageUsed across tech, healthcare, finance, and research sectors for language-related projectsApplied broadly in tech, finance, healthcare, and consulting for data-driven decision making

Freelance Natural Language Processing specialists focus on language-specific projects independently, while Data Scientists work on broader data analysis tasks within organizations. Both roles require strong analytical skills, but their work environments and project scopes differ significantly.

More about Freelance Natural Language Processing jobs

What cities are hiring for Freelance Natural Language Processing jobs?

Cities with the most Freelance 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 Freelance Natural Language Processing jobs?

States with the most job openings for Freelance Natural Language Processing jobs include:

What job categories do people searching Freelance Natural Language Processing jobs look for?

The top searched job categories for Freelance Natural Language Processing jobs are:

What other helpful pages are available for Freelance Natural Language Processing?

Other pages related to Freelance Natural Language Processing:

Freelance Natural Language Processing jobs near you
Infographic showing various Freelance Natural Language Processing job openings in the United States as of September 2026, with employment types broken down into 1% As Needed, 73% Full Time, 21% Part Time, 1% Temporary, and 4% Contract. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $99,230 per year, or $47.7 per hour.

Natural Language Measurement Specialist

Remote

College Board
Education Programs Administration • 1 - 5K employees
Learn more about College Boardexternal

Full-time

Re-posted 20 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