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Remote Examsoft information

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How much do remote examsoft jobs pay per hour?

As of Jun 2, 2026, the average hourly pay for remote examsoft in the United States is $32.69, according to ZipRecruiter salary data. Most workers in this role earn between $30.77 and $34.62 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote ExamSoft Administrator, and why are they important?

To thrive as a Remote ExamSoft Administrator, you need a solid understanding of online assessment platforms, troubleshooting skills, and experience with ExamSoft software, often supported by a background in IT or educational technology. Familiarity with learning management systems (LMS), remote proctoring tools, and certifications such as CompTIA A+ or relevant vendor certifications are valuable. Strong communication, problem-solving abilities, and attention to detail are crucial soft skills for effectively supporting users and ensuring exam integrity. These competencies are vital for maintaining a secure, seamless exam experience and promptly resolving technical issues in a remote environment.

What are some common challenges when working remotely with ExamSoft, and how can candidates best prepare for them?

Working remotely with ExamSoft often requires strong self-management skills and reliable technical troubleshooting abilities. Candidates may encounter challenges such as ensuring secure test environments, addressing connectivity issues, and supporting users across different time zones. Proactively familiarizing yourself with ExamSoft’s platform, maintaining open communication with your team, and setting up a dedicated workspace with stable internet can help address these challenges effectively. Additionally, being adaptable and responsive to last-minute exam-related issues is crucial for success in this role.

What is a Remote ExamSoft proctor?

A Remote ExamSoft proctor is a professional responsible for overseeing and ensuring the integrity of online exams administered through the ExamSoft platform. Their duties include monitoring students remotely via webcam, verifying identities, and handling technical or academic integrity issues during the exam. This role helps maintain a fair testing environment by preventing cheating and ensuring that all exam protocols are followed, even when students are taking exams from home or other remote locations.

What is the difference between Remote Examsoft vs Remote Exam Coordinator?

AspectRemote ExamsoftRemote Exam Coordinator
CredentialsTypically requires IT or technical certifications, familiarity with Examsoft softwareOften requires educational or testing administration experience, certifications vary
Work EnvironmentRemote, tech-focused, software managementRemote or hybrid, coordinating exam logistics and support
Industry UsageUsed by educational institutions and testing agencies for exam deliveryEmployed by testing centers, universities, and certification bodies

Remote Examsoft primarily involves managing and supporting Examsoft software for online exams, focusing on technical setup and troubleshooting. Remote Exam Coordinators oversee exam scheduling, logistics, and candidate support. While both roles may work remotely and require knowledge of testing procedures, Remote Examsoft is more technical, whereas Remote Exam Coordinators focus on exam administration and coordination.

More about Remote Examsoft jobs
What cities are hiring for Remote Examsoft jobs? Cities with the most Remote Examsoft job openings:
What are the most commonly searched types of Examsoft jobs? The most popular types of Examsoft jobs are:
What states have the most Remote Examsoft jobs? States with the most job openings for Remote Examsoft jobs include:
Infographic showing various Remote Examsoft job openings in the United States as of May 2026, with employment types broken down into 86% Full Time, 11% Part Time, and 3% Contract. Highlights an 100% Hybrid job distribution, with an average salary of $68,000 per year, or $32.7 per hour.
Senior Machine Learning Scientist (USA Remote)

Senior Machine Learning Scientist (USA Remote)

Turnitin

Dallas, TX • Remote

Full-time

Medical, Life, PTO

Posted 24 days ago


Job description

Company Description

When you join Turnitin, you'll be welcomed into a company that is a recognized innovator in the global education space. For over 25 years, Turnitin has partnered with educational institutions to promote honesty, consistency, and fairness across all subject areas and assessment types. Over 21,000 academic institutions, publishers, and corporations use our services: Feedback Studio, Originality, Gradescope, ExamSoft, Similarity, and iThenticate.

Experience a remote-centric culture that empowers you to work with purpose and accountability in a way that best suits you, supported by a comprehensive package that prioritizes your overall well-being. Our diverse community of colleagues are all unified by a shared desire to make a difference in education.

Turnitin is a global organization with team members in over 35 countries including the United States, Mexico, United Kingdom, Australia, Japan, India, and the Philippines.

Turnitin, LLC is an equal opportunity employer- vets/disabled.

Job Description

Turnitin is a recognized innovator in the global education space. For more than 20 years, Turnitin has partnered with educational institutions to promote honesty, consistency, and fairness across all subject areas and assessment types. Over 16,000 academic institutions, publishers, and corporations use our products and services.

At Turnitin, working remotely is our default. We respect local cultures, embrace diversity, and we respect personal choice. Turnitin is headquartered in Oakland, with offices in Dallas, Pittsburgh, Newcastle (UK), Stockholm (Sweden), Cologne (Germany), Amsterdam (Netherlands). Our diverse community of colleagues is unified by a shared desire to make a difference in education. Our remote-first culture allows for every employee to get the same access to learning and career opportunities, and it enables us to think differently about where and how we recruit talent from all kinds of diverse backgrounds.

Machine Learning is integral to the continued success of our company. Our product roadmap is exciting and ambitious. You will join a global team of curious, helpful, and independent scientists and engineers, united by a commitment to deliver cutting-edge, well-engineered Machine Learning systems. You will work closely with product and engineering teams across Turnitin to integrate Machine Learning into a broad suite of learning, teaching and integrity products.

We are in a unique position to deliver Machine Learning used by hundreds of thousands of instructors teaching millions of students around the world. Your contributions will have global reach and scale. Billions of papers have been submitted to the Turnitin platform, and hundreds of millions of answers have been graded on the Gradescope and Examsoft platforms. Machine Learning powers our AI Writing detection system, gives automated feedback on student writing, investigates authorship of student writing, revolutionizes the creation and grading of assessments, and plays a critical role in many back-end processes.

Responsibilities and Requirements:

We expect Senior Machine Learning Scientists to be versatile and have a well-balanced set of skills. You will focus on model training and maintenance with significant capacity for research (developing novel model architectures), dataset construction, and model hardening (preparing the model and code for production pipelines).

Day-to-day, your responsibilities are to:

  • Work with subject matter experts and product owners to determine what questions should be asked and what questions can be answered.
  • Work with subject matter experts to curate, generate, and annotate data, and create optimal datasets following responsible data collection and model maintenance practices.
  • Answer questions and make trainable datasets from raw data, using efficient SQL queries and scripting languages, visualizing when necessary.
  • Develop and tune Machine Learning models, following best practices to select datasets, architectures, and model parameters.
  • Utilize, adopt, and fine-tune Language Models, including third-party LLMs (through prompt engineering and orchestration) and locally hosted LMs.
  • Stay current in the field - read research papers, experiment with new architectures and LLMs, and share your findings.
  • Optimize models for scaled production usage.
  • Communicate insights, as well as the behavior and limitations of models, to peers, subject matter experts, and product owners.
  • Write clean, efficient, and modular code, with automated tests and appropriate documentation.
  • Stay up to date with technology, make good technological choices, and be able to explain them to the organization.
Qualifications

Required Qualifications:

  • Experience working with text data to build Deep Learning and ML models, both supervised and unsupervised. Experience with deep learning in other modalities such as vision and speech would be a strong bonus.
  • A strong understanding of the math and theory behind machine learning and deep learning.
  • Software engineering background with at least 8 years of experience (we use Python, SQL, Unix-based systems, git, and github for collaboration and review).
  • Machine / Deep Learning development skills, including experiment tracking (we use AWS SageMaker, Hugging Face, transformers, PyTorch, scikit-learn, Jupyter, Weights & Biases).
  • An understanding of Language Models, using and training / fine-tuning and a familiarity with industry-standard LM families.
  • Master's degree or PhD in Computer Science, Electrical Engineering, AI, Machine Learning, applied math or related field, with relevant industry experience, or outstanding previous achievements in this role. A Computer Science background is required as opposed to statistics or pure mathematics. We're an applied science group leaning towards deep learning and therefore software development proficiency is a prerequisite.
  • Excellent communication and teamwork skills.
  • Fluent in written and spoken English.

Would be a plus:

  • Familiarity in coding for at-scale production, ranging from best practices to building back-end API services or stand-alone libraries.
  • Essential dev-ops skills (we use Docker, AWS EC2/Batch/Lambda).
  • Familiarity in building front-ends (LLMs or more standard React, Javascript, Flask) for simple demos, POCs and prototypes.  
  • Experience with advanced prompting, fine-tuning or training an LLM, open-source or cloud, using industry accepted platforms (such as mosaic.ai or stochastic.ai).
  • Showcase previous work (e.g. via a website, presentation, open source code).
Additional Information

The expected annual base salary range for this position is: $112,125/year to $186,875/year. This position is bonus eligible / commission-based.

As a Remote-First company, actual compensation will be provided in writing at the time of offer, if extended, and is determined by work location and a range of other relevant factors, including but not limited to: experience, skills, degrees, licensures, certifications, and other job-related factors. Internal equity, market and organizational factors are also considered.

Total Rewards @ Turnitin
Turnitin maintains a Total Rewards package that is competitive within the local job market. People tend to think about their Total Rewards monetarily - solely as regular pay plus bonus or commission. This is what they earn in exchange for what they do. However, Turnitin delivers more than just these components. Beyond the intrinsic rewards of unleashing your potential to positively impact global education, and thriving in an organization that is free of politics and full of humble, inclusive and collaborative teammates, the extrinsic rewards at Turnitin include generous time off and health and wellness programs that offer choice and flexibility and provide a safety net for the challenges that life presents from time to time. Experience a remote-centric culture that empowers you to work with purpose and accountability in a way that best suits you, supported by a comprehensive package that prioritizes your overall well-being.

Our Mission is to ensure the integrity of global education and meaningfully improve learning outcomes.
Our Values underpin everything we do.

  • Customer Centric - We realize our mission to ensure integrity and improve learning outcomes by  putting educators and learners at the center of everything we do.
  • Passion for Learning - We seek out teammates that are constantly learning and growing and build a workplace which enables them to do so.
  • Integrity - We believe integrity is the heartbeat of Turnitin. It shapes our products, the way we treat each other, and how we work with our customers and vendors.
  • Action & Ownership - We have a bias toward action and empower teammates to make decisions.
  • One Team - We strive to break down silos, collaborate effectively, and celebrate each other's successes.
  • Global Mindset - We respect local cultures and embrace diversity. We think globally and act locally to maximize our impact on education.

Global Benefits

  • Remote First Culture
  • Health Care Coverage*
  • Education Reimbursement*
  • Competitive Paid Time Off 
  • 4 Self-Care Days per year
  • National Holidays*
  • 2 Founder Days + Juneteenth Observed
  • Paid Volunteer Time*
  • Charitable contribution match*
  • Monthly Wellness or Home Office Reimbursement*
  • Access to Modern Health (mental health platform)
  • Parental Leave*
  • Retirement Plan with match/contribution*

* varies by country

Seeing Beyond the Job Ad
At Turnitin, we recognize it's unrealistic for candidates to fulfill 100% of the criteria in a job ad.  We encourage you to apply if you meet the majority of the requirements because we know that skills evolve over time. If you're willing to learn and evolve alongside us, join our team!
Turnitin, LLC is committed to the policy that all persons have equal access to its programs, facilities and employment. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.