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Remote Measurement Engineer Jobs (NOW HIRING)

DEWESoft, LLC

Sales Engineer - Washington

Seattle, WA · Remote

$80K - $110K/yr

Remote (must be located in WA) Type: Full-Time Travel: 50-75% (Customer visits, hands-on demos, and trade shows) Build the Future of Measurement Technology At DEWESoft, our Sales Engineers are ...

StackAdapt

$108K - $143K/yr

They will work day-to-day with two other PMs in the Measurement space, as well as a dedicated team of engineers, designers, and QA. StackAdapt is a Remote First company, we are open to candidates ...

Pinterest

Measurement Lead (tvScientific)

New York, NY · On-site +1

$145K - $300K/yr

Collaborate with Product, Engineering, and Analytics to ensure Pinterest ⇄ tvScientific data ... Visit our PinFlex page to learn more about our working model. #LI-REMOTE #LI-LP1 At Pinterest we ...

Upstart

Director, Software Engineering, Mobile Platform

OR · On-site +1

$252K/yr

Operationalize success metrics - Establish clear KPIs to measure engineering efficiency, product ... Remote Travel requirements As a digital first company, the majority of your work can be ...

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Remote Measurement Engineer information

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$148.5K

How much do remote measurement engineer jobs pay per year?

As of Aug 4, 2026, the average yearly pay for remote measurement engineer in the United States is $96,970.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,000.00 and $110,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a remote measurement engineer, and why are they important?

To thrive as a Remote Measurement Engineer, you need a solid background in instrumentation, data analysis, and engineering principles, usually supported by a degree in engineering or a related field. Familiarity with remote sensing technologies, data acquisition systems, and software such as MATLAB or LabVIEW is commonly required. Strong problem-solving abilities, attention to detail, and effective communication skills help you excel in troubleshooting and collaborating with remote teams. These skills are crucial for ensuring accurate measurements, reliable data transmission, and successful project outcomes in distributed or off-site environments.

What is a remote measurement engineer?

Remote Measurement Engineers are professionals who specialize in designing, implementing, and maintaining systems that collect and analyze data from remote locations. They utilize various technologies such as sensors, data loggers, and communication networks to monitor and measure physical conditions or performance metrics from a distance. Their work is crucial in industries like oil and gas, environmental monitoring, and utilities, where on-site data collection may be difficult or hazardous. Remote Measurement Engineers ensure the accuracy and reliability of the collected data, enabling informed decision-making and efficient operations.

What is the difference between Remote Measurement Engineer vs Remote Data Analyst?

AspectRemote Measurement EngineerRemote Data Analyst
Required CredentialsBachelor's in Engineering, certifications in measurement toolsBachelor's in Statistics, certifications in data analysis
Work EnvironmentField measurements, technical software, remote collaborationData interpretation, reporting, remote analysis
Industry UsageManufacturing, engineering, infrastructureBusiness, finance, marketing

Remote Measurement Engineers focus on collecting and analyzing physical measurement data in technical fields, often working with engineering tools. Remote Data Analysts interpret data sets to inform business decisions. While both roles require analytical skills and remote work capabilities, their industry focus and technical expertise differ significantly.

How does a remote measurement engineer typically collaborate with on-site engineering teams and field technicians?

Remote Measurement Engineers often work closely with on-site teams to calibrate, troubleshoot, and maintain measurement systems from a distance. Collaboration usually happens via video conferences, remote desktop tools, and cloud-based data platforms, allowing engineers to provide real-time support and analysis. Regular communication is key, as remote engineers may need to interpret sensor data, guide field technicians through complex procedures, and ensure that measurement standards are met without being physically present. Building strong remote working relationships and maintaining clear documentation are essential to success in this role.
More about Remote Measurement Engineer jobs
What cities are hiring for Remote Measurement Engineer jobs? Cities with the most Remote Measurement Engineer job openings:
What are the most commonly searched types of Measurement Engineer jobs? The most popular types of Measurement Engineer jobs are:
What states have the most Remote Measurement Engineer jobs? States with the most job openings for Remote Measurement Engineer jobs include:
What job categories do people searching Remote Measurement Engineer jobs look for? The top searched job categories for Remote Measurement Engineer jobs are:
Remote Measurement Engineer jobs near you
Infographic showing various Remote Measurement Engineer job openings in the United States as of July 2026, with employment types broken down into 96% Full Time, 1% Part Time, and 3% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $96,970 per year, or $46.6 per hour.

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