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Remote Computational Modeling Jobs (NOW HIRING)

The Pennsylvania State University

$19 - $26/hr

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... area of Computational modeling in biomedical diseases. The candidates will work on data-driven ...

Ionis

Director, Computational Biology

Carlsbad, CA · On-site +1

We continue to invest time, money and energy into making our onsite, hybrid and remote work ... Apply rigorous model-to-human translation, evaluating cross-species conservation, model fidelity ...

Mercor

Subject Matter Expert

New York, NY · Remote

$70 - $100/hr

Remote Commitment: 40 hours/week Role Responsibilities * Guide research teams to close knowledge ... Demonstrated technical expertise in at least one domain: computational modeling, laboratory methods ...

Mercor

STEM Research Scientist - PhD

New York, NY · Remote

$70 - $100/hr

Remote Commitment: 40 hours/week Role Responsibilities * Guide research teams to close knowledge ... Demonstrated technical expertise in at least one domain: computational modeling, laboratory methods ...

Mercor

Postdoctoral Researcher

New York, NY · Remote

$70 - $100/hr

Remote Commitment: 40 hours/week Role Responsibilities * Guide research teams to close knowledge ... Demonstrated technical expertise in at least one domain: computational modeling, laboratory methods ...

Mercor

Research And Development Scientist

New York, NY · Remote

$70 - $100/hr

Remote Commitment: 40 hours/week Role Responsibilities * Guide research teams to close knowledge ... Demonstrated technical expertise in at least one domain: computational modeling, laboratory methods ...

Mercor

Senior Subject Matter Expert

New York, NY · Remote

$70 - $100/hr

Remote Commitment: 40 hours/week Role Responsibilities * Guide research teams to close knowledge ... Demonstrated technical expertise in at least one domain: computational modeling, laboratory methods ...

Mercor

Research Scientist | Upto $100/hr

New York, NY · Remote

$100/hr

Remote Commitment: 40 hours/week Role Responsibilities * Guide research teams to close knowledge ... Demonstrated technical expertise in at least one domain: computational modeling, laboratory methods ...

The Pennsylvania State University

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... They must also have experience in mechanics of materials, computational modeling, and experimental ...

Luminate Works

Statistician

$70K - $80K/yr

Experience working with large datasets and computational models * Strong analytical thinking and attention to detail * Ability to work independently in a remote environment * Clear written and verbal ...

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Remote Computational Modeling information

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

To excel in Remote Computational Modeling, you need a strong background in mathematics, physics, and computer science, often supported by a relevant degree such as in engineering or applied sciences. Proficiency with modeling software (like MATLAB, ANSYS, or COMSOL), programming languages (such as Python or C++), and cloud computing platforms is typically required. Outstanding analytical thinking, problem-solving abilities, and effective remote communication skills set top candidates apart. These competencies ensure accurate model development, efficient collaboration, and the ability to deliver reliable results in a remote work environment.

What are some common challenges faced by professionals in remote computational modeling roles, and how can they be addressed?

Professionals in remote computational modeling often face challenges such as maintaining effective communication with team members, managing complex simulations across distributed systems, and staying aligned with project goals without in-person oversight. To overcome these obstacles, it's important to leverage collaboration tools, establish regular check-ins with your team, and document your work thoroughly. Additionally, setting up a reliable remote work environment with necessary software and high-speed internet can help ensure productivity and minimize technical disruptions.

What is remote computational modeling?

Remote computational modeling is the process of creating and simulating mathematical models of real-world systems using computer software, performed from a location outside a traditional office or laboratory setting. Professionals in this field use specialized software to analyze complex data, make predictions, and solve scientific or engineering problems, all while collaborating virtually with teams or clients. This remote setup allows for greater flexibility and access to global projects, making it an attractive option for computational scientists, engineers, and analysts.

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

AspectRemote Computational ModelingRemote Data Analysis
Required CredentialsDegree in computational science, engineering, or related fields; programming skillsDegree in statistics, data science, or related fields; analytical skills
Work EnvironmentCollaborative teams, research labs, or industry projects involving simulationsData-focused environments, business analytics, or research settings
Industry UsageEngineering, scientific research, product developmentBusiness, marketing, healthcare, finance
Search & Comparison IntentUnderstanding roles involving simulation and modeling techniquesAnalyzing data sets to derive insights

Remote Computational Modeling involves creating simulations and models to predict or analyze complex systems, often requiring programming and scientific expertise. Remote Data Analysis focuses on examining data sets to extract meaningful insights, typically using statistical tools. While both roles require analytical skills and often overlap in technical knowledge, they serve different purposes within industries like engineering, research, and business.

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What cities are hiring for Remote Computational Modeling jobs? Cities with the most Remote Computational Modeling job openings:
What are the most commonly searched types of Computational Modeling jobs? The most popular types of Computational Modeling jobs are:
What states have the most Remote Computational Modeling jobs? States with the most job openings for Remote Computational Modeling jobs include:
What job categories do people searching Remote Computational Modeling jobs look for? The top searched job categories for Remote Computational Modeling jobs are:
Remote Computational Modeling jobs near you
Infographic showing various Remote Computational Modeling job openings in the United States as of May 2026, with employment types broken down into 96% Full Time, 1% Part Time, and 3% Contract. Highlights an 87% Physical, 11% Hybrid, and 2% Remote job distribution.
Computational Linguist with Gen AI experience | Sigma AI

Computational Linguist with Gen AI experience | Sigma AI

Sigma Group

Remote

Contractor

Posted 19 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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