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Remote Computational Modeling Scientist Jobs (NOW HIRING)

Ionis

Director, Computational Biology

Carlsbad, CA · On-site +1

... innovation and scientific excellence. We know that our success is a direct result of the ... We continue to invest time, money and energy into making our onsite, hybrid and remote work ...

Adidev Technologies Inc

DATA SCIENTIST

Austin, TX · Remote

S. in Computer Science, Computational Physics, Operations Research, Geospatial Sciences, Remote ... SQL, statistical modeling, Feature engineering, Data visualization, Deploying models to production ...

The Pennsylvania State University

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... computational physics * Programming for engineering applications and scientific applications ...

Harvey Performance Company

Design Engineer

Meridian, ID · On-site +1

Develop and manage computational models and analysis tools in MATLAB to support performance ... This role is remote, with the expectation that candidates are located within a reasonable driving ...

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$50.5K

$111.3K

$137.5K

How much do remote computational modeling scientist jobs pay per year?

As of Jul 17, 2026, the average yearly pay for remote computational modeling scientist in the United States is $111,343.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,500.00 and $137,000.00 per year, depending on experience, location, and employer.

What is the difference between Remote Computational Modeling Scientist vs Remote Data Scientist?

AspectRemote Computational Modeling ScientistRemote Data Scientist
Required CredentialsAdvanced degrees in computational science, physics, or related fields; programming skillsDegree in data science, statistics, or related fields; programming and analytical skills
Work EnvironmentResearch labs, tech companies, or industries requiring simulation and modelingBusiness, tech, healthcare, or finance sectors analyzing large datasets
Employer & Industry UsageResearch institutions, biotech, aerospace, and engineering firmsTech companies, finance, healthcare, marketing
Common Search & ComparisonYesNo

The Remote Computational Modeling Scientist focuses on developing and applying computational models to simulate complex systems, often requiring advanced scientific knowledge. In contrast, the Remote Data Scientist primarily analyzes large datasets to extract insights for business decisions. While both roles involve programming and data analysis, their core applications and industries differ significantly.

How does a Remote Computational Modeling Scientist typically collaborate with cross-functional teams while working off-site?

As a Remote Computational Modeling Scientist, you’ll often work closely with multidisciplinary teams, including experimental scientists, data analysts, and software engineers. Collaboration usually takes place through virtual meetings, shared project management tools, and cloud-based data repositories, ensuring seamless communication despite geographical distance. Clear documentation, proactive updates, and flexible scheduling are key to overcoming the challenges of time zone differences and remote coordination. Building strong professional relationships and maintaining transparency help facilitate effective teamwork and project success.

What is a Remote Computational Modeling Scientist?

A Remote Computational Modeling Scientist is a professional who uses advanced computer simulations and mathematical models to analyze complex systems or predict outcomes in fields such as physics, biology, chemistry, or engineering—all while working remotely. They design, develop, and implement computational models to solve scientific problems, often collaborating with research teams virtually. Their work helps organizations understand phenomena, optimize processes, and accelerate innovation without needing to be physically present in a traditional lab or office setting.

What are the key skills and qualifications needed to thrive as a Remote Computational Modeling Scientist, and why are they important?

To thrive as a Remote Computational Modeling Scientist, you need a strong background in mathematics, physics, or engineering, along with experience in computational modeling and a relevant advanced degree. Proficiency with programming languages (such as Python, MATLAB, or C++), simulation software, and version control systems is typically expected. Exceptional problem-solving abilities, self-motivation, and effective virtual communication are vital soft skills for remote collaboration and independent workflow. These competencies ensure accurate model development, efficient project delivery, and seamless teamwork across distributed environments.
What cities are hiring for Remote Computational Modeling Scientist jobs? Cities with the most Remote Computational Modeling Scientist job openings:
What are the most commonly searched types of Computational Modeling Scientist jobs? The most popular types of Computational Modeling Scientist jobs are:
What states have the most Remote Computational Modeling Scientist jobs? States with the most job openings for Remote Computational Modeling Scientist jobs include:
What job categories do people searching Remote Computational Modeling Scientist jobs look for? The top searched job categories for Remote Computational Modeling Scientist jobs are:
Remote Computational Modeling Scientist jobs near you
Computational Linguist with Gen AI experience | Sigma AI

Computational Linguist with Gen AI experience | Sigma AI

Sigma Group

Remote

Contractor

Re-posted 7 days ago

Job description

Join Sigma.AI - Shaping the Future of Artificial Intelligence
What is Sigma?
Sigma is a leading global technology company specializing in data collection and annotation for Artificial Intelligence. With over 30 years of experience, offices in Spain, the United States, and the United Kingdom, and operations in more than 700 languages, we support multinational clients in developing cutting-edge AI solutions.
Soft Skills We Value:
Are you a proactive professional who enjoys challenges, values collaboration, and approaches every task with empathy, integrity, and a passion for learning?
If so, we'd love to hear from you!
Location:
Work from home (locations US: Florida, California, North Carolina); Freelance position.
About the Role:
We're looking for a versatile Computational Linguist to join our R&D team focused on evaluating and supporting Generative and Agentic AI systems. This role combines linguistic expertise, data analysis, and hands-on experimentation with large language models. You'll help design annotation workflows, create and refine guidelines and internal documentation,prototype task-specific evaluation metrics, configure annotation tools, and analyze annotator, model and system performance using real-world data, contributing to papers and articles as needed. The ideal candidate should demonstrate technical leadership in driving complex projects from concept to delivery.
This is a hybrid linguistics + data science role: ideal for someone who can move between qualitative language analysis and quantitative evaluation. You'll work cross-functionally with researchers and annotators to design innovative, rigorous, and scalable evaluation processes for LLM-powered workflows.
Required Qualifications:
  • Master's degree (or equivalent experience) in Computational Linguistics, NLP, Linguistics, or a related field
  • 2+ years of experience in NLP or AI projects (industry or research)
  • At least one year of experience with Gen AI and/or Agentic AI
  • Experience using and fine-tuning transformer-based language models (e.g., BERT)
  • Proficiency in Python programming
  • Proficient with NLP and data science libraries: pandas, numpy, scikit-learn, NLTK
  • Experience with generative AI SDKs and frameworks (e.g., OpenAI, Google, Anthropic, LangChain)
  • Comfortable with Linux environments and Bash scripting
  • Experience working with public datasets (e.g. Hugging Face, Kaggle)
  • Familiarity with LLM behavior, prompt-based evaluation, and generative model outputs
  • Comfortable with structured data formats (JSON, CSV), Jupyter notebooks, and pandas-based analysis
  • Experience using Git for version control and collaborative development
  • Understanding of model evaluation methodologies, including human-AI comparison and red teaming
  • Strong written communication skills for documenting experiments and results
  • Experience working in cross-functional or research-oriented teams
  • Fluent in English
  • Experience designing annotation tasks and workflows

Preferred Qualifications
  • Strong interest in and understanding of current trends and techniques in generative AI
  • Experience with annotation tools (e.g., Label Studio, Prodigy) and quality metrics for human data
  • Experience creating and curating bespoke datasets
  • Familiarity with evaluation challenges in creative or subjective NLP tasks
  • Understanding of linguistic typology, multilingual NLP, or sociolinguistic variation
  • Experience working in WSL environments
  • Experience collaborating with annotation teams and working with QA processes

Important Notes:
Sigma.AI does not hire through third parties. No agents' intermediaries or third parties are authorized to represent benefit from or participate in any way in the relationship. To this effect the Candidate agrees to provide any documentation or information reasonably requested by the Company to verify their identity and credentials. Should the Candidate fail to provide enough evidence of their identity to Sigma's satisfaction, Sigma shall be entitled to withhold or terminate any offer with the Candidate.
The company may employ or rely on artificial intelligence systems in its selection processes. Such processing is carried out in an ethical, transparent, and legally compliant manner. The purpose of the processing is to evaluate the tests submitted in the course of the selection process (for instance the transcribed content provided by the candidate). The legal basis for processing your data is the pre-contractual relationship between the parties and/or the provision of requested services.
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Sigma.AI - Data done right.
Department Data Science, Research & Development (R&D) Locations California, Florida, North Carolina Remote status Fully Remote Employment type Contract

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