This page tracks remote nlp engineer openings that are location-eligible for Minnesota.
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• Studies incident reports implicating LLMs or NLP algorithms and hypothesize root causes. • Conducts literature and open-source reviews in NLP or LLM. • Designs, plans, and creates NLP or LLM assessments - expanding digital safety best practices. • Applies technical, diagnostic, and troubleshooting skills. • Codes or trains text analytics needed to run NLP or LLM assessments. • Prepares written component documentation for technical audiences. • Publishes assessment research results, on-line, using Digital Safety lab tools, and in peer-reviewed conferences and journals. • Works closely with team members to ensure that all processes are accurate and technically sound.
Global leader in workforce solutions for machine learning and business process optimization
Role Description Disambiguate word- and phrase-level meaning to build high-quality training data for AI language models. - Apply morphosyntactic and semantic analysis to tag and validate grammar concepts with precision. - Distinguish read-aloud from spontaneous speech to support speech data annotation. - Write grammar explanations that are linguistically rigorous and genuinely useful to learners. - Design vocabulary tasks grounded in real usage patterns, not textbook cliches. - Shape lesson outlines that reflect how English is actually used, informed by corpus and annotation data. Qualifications - Bachelor's degree or higher in linguistics, computational linguistics, or NLP (Master's or PhD a plus). - Demonstrated expertise in semantics and morphosyntax, ideally applied to corpus linguistics or NLP annotation work. - Experience with language data annotation, corpus tagging, or AI/ML training data projects strongly preferred. - Native or near-native English proficiency (CEFR C2). Requirements - Type: Contract. - Time commitment: 10-20 hours per week. - Project duration: 4 weeks, potential extension.
UnitedHealth Group is a healthcare and well-being company that’s dedicated to improving the health outcomes of millions around the world. We are comprised of
Role Description The Natural Language Processing (NLP) Engineer is a key technical contributor in the design and development of state-of-the-art NLP and Artificial Intelligence (AI) for medical applications. The Sr NLP Engineer works closely with other NLP engineers, NLP developers, software engineers, and subject matter experts on current company technologies and forward-looking projects. The successful candidate will have a strong background in NLP and AI, with an emphasis on: - Text - Information retrieval - Information extraction - Knowledge representation - Ontological design Primary responsibilities include: - Enhancement of existing company NLP technologies - Extension of those systems to new applications - Augmentation of various clinical knowledge resources (lexicons, nomenclatures, hierarchies, ontologies, and rule systems) - Evaluation of performance of components on clinical documentation at scale in production environments - Generation and interpretation of domain/solution analytics - Collaboration with engineering to enhance NLP modules and functionality - Direct support of team members in the maintenance of company NLP systems - Resolution of internal and external customer issues - All aspects of software design and development from system requirements definition to implementation, integration, and testing You’ll be rewarded and recognized for your performance in an environment that will challenge you and provide development for other roles you may be interested in. Qualifications - 4+ years of related professional work experience - significant academic NLP development experience will be considered for strong applicants with advanced degree - 4+ years of experience in linguistic processes - 3+ years of experience in algorithms and techniques within a computational domain with emphasis on text processing - 3+ years of experience with natural language processing or formal linguistics: morphology, syntax, and semantics - 3+ years of experience with at least 2 of the following: Python, Java, C# - 3+ years of experience in SQL - 3+ years of experience integrating Copilot with GitHub or similar AI-assisted development tools - 3+ years of experience with modern software development and DevOps ecosystems - 3+ years of experience working with integrated development environments and tools - 3+ years of experience building, deploying, and maintaining containerized images in scalable production environments Requirements - Degree in Linguistics, Computer Science, or other Computational discipline (preferred) - Exposure to LLMs & prompting (preferred) - Experience with ontologies (preferred) - Experience in medical coding or medical terminology (preferred) - Graduate degree (preferred) - Experience with modern AI development tools and applied AI engineering workflows (preferred) Benefits - Comprehensive benefits package - Incentive and recognition programs - Equity stock purchase - 401k contribution (subject to eligibility requirements)
Cincinnatus is an enterprise staffing company that partners with leading technology companies to source and employ highly skilled professionals for full-time and long-term contingent roles. Cincinnatus serves as the employer of record for these engagements, providing W-2 employment, payroll, benefits, and compliance, while placing employees directly within client teams to work on high-impact initiatives. Roles hired through Cincinnatus are not project-based or freelance engagements. They are structured, role-based positions that typically involve full-time or fixed-term commitments, close collaboration with a client's internal teams, and integration into standard enterprise workflows. Cincinnatus is a legal entity separate from Mercor. While opportunities may be discovered through Mercor's platform, employment, onboarding, payroll, and benefits for these roles are administered by Cincinnatus. Equal Employment Opportunity Cincinnatus is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or any other legally protected characteristic. Cincinnatus is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans throughout the job application process.
Role Description - Design challenging computational problems using domain-specific scientific software libraries like libRoadRunner, Tellurium, or SBML-based tools. - Develop problems that test AI systems' ability to implement complex multi-step scientific workflows and strategic reasoning. - Calibrate tasks against state-of-the-art AI models, refining problem design to achieve target difficulty. - Collaborate with AI research teams to improve model outputs and training data quality. - Work independently and asynchronously to meet deadlines and improve AI model performance. Qualifications - Graduate-level training in a relevant STEM domain (MS, PhD, or equivalent research experience). - Proficiency with at least one listed scientific software library, evidenced by research publications, open-source contributions, or professional work. - Strong Python programming skills for writing problem setups, oracle functions, and solution validators. - Ability to work independently and iterate on problem designs based on calibration feedback. - Comfortable in a Linux/terminal environment with remote compute sandboxes. Requirements - Experience across multiple listed domains or tools. - Familiarity with benchmark or evaluation design. - Background in scientific pedagogy or exam/problem-set design. - Experience with computational reproducibility and containerized environments. Benefits - Compensation: $70–$100/hour - Location: Remote - Commitment: 15–20 hours/week Application Process - Upload resume - AI interview based on your resume - Submit form Resources & Support - For details about the interview process and platform information, please check: Interview Process - For any help or support, reach out to: support@mercor.com - PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
Top world’s largest social discovery company uniting 70+ brands with 500M+ users
• Train and fine-tune language models powering our AI companions • Own and improve agent harnesses, agentic loops, and the chat interface algorithm • Build and maintain the full LLM stack — from model training to production deployment • Track cutting-edge NLP research and open-source developments; translate them into an NLP roadmap • Collaborate closely with the validation, content, and dataset preparation teams to design experiments and measure model quality
WEX simplifies the business of running a business through smarter workflows and financial intelligence. Our North America Mobility and OTR businesses power the fleets that keep commerce moving — from small owner-operators to large fleet enterprises. Pay Range $198,000.00 - $223,700.00
Role Description As a PhD Research Intern, you will apply your deep technical expertise to solve complex, real-world problems. You are a highly motivated researcher with a passion for applying cutting-edge AI, Machine Learning, and software engineering to create tangible business value. This is a project-based internship. You will be paired with a dedicated mentor and given a high-impact project to own, from research and design through to a functional prototype; you'll: - Collaborate with senior engineers, product managers, and domain experts to understand our customers' needs and challenges. - Apply your research skills to design, code, and test novel AI/ML solutions. - Develop, evaluate, and iterate on AI/ML models (including LLMs) to solve a core business problem. - Analyze existing platforms to identify bottlenecks and propose opportunities for algorithmic or systems-level improvements. - Gain hands-on experience with our production systems, including CI/CD pipelines (GitHub Actions) and Infrastructure as Code (Terraform). - Present your findings and project outcomes to the team and key stakeholders at the end of your internship. Qualifications - Currently enrolled in a PhD program in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field. - Demonstrated research experience in AI, Machine Learning, Deep Learning, or Generative AI (e.g., publications, conference papers, or significant project work). - Strong programming skills in at least one of our core languages: Python, Java, C#, or GoLang. - Deep understanding of modern ML algorithms, platforms, and packages (including deep learning and LLMs). - Solid grasp of probability and statistics concepts (e.g., distributions, Bayesian inference, maximum likelihood estimation). - A collaborative mindset and strong communication skills, with an ability to translate complex research into practical applications. - Evidence of innovative problem-solving and a drive to learn and excel. Requirements - Experience with cloud platforms (e.g., AWS). - Familiarity with software development best practices (SDLC), CI/CD tools, and IaC (e.g., Terraform). - Familiarity with container orchestration (e.g., Kubernetes). - Experience or interest in the financial technology (FinTech) industry. Benefits - Health, dental and vision insurances. - Retirement savings plan. - Paid time off. - Health savings account. - Flexible spending accounts. - Life insurance. - Disability insurance. - Tuition reimbursement. - And more. Pay Range $35.00 - $43.00
Optum, part of the UnitedHealth Group family of businesses, is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. At Optum, we support your well-being with an understanding team, extensive benefits and rewarding opportunities. By joining us, you’ll have the resources to drive system transformation while we help you take care of your future. We recognize the power of connection to drive change, improve efficiency and make a difference in health care. Join a team where your skills and ideas can make an impact and where collaboration is key to creating technology that produces healthier outcomes.
Requisition Number: 2287157 Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together. Optum AI is UnitedHealth Group's enterprise AI team. We are AI/ML scientists and engineers with deep expertise in AI/ML engineering for health care. We develop AI/ML solutions for the highest impact opportunities across UnitedHealth Group businesses including UnitedHealthcare, Optum Financial, Optum Health, Optum Insight, and Optum Rx. In addition to transforming the health care journey through responsible AI/ML innovation, our charter also includes developing and supporting an enterprise AI/ML development platform. Optum AI team members: - Have impact at scale: We have the data and resources to make an impact at scale. When our solutions are deployed, they have the potential to make health care system work better for everyone - Do ground-breaking work: Many of our current projects involve cutting edge ML, NLP and LLM techniques. Generative AI methods for working with structured and unstructured health care data are continuously being developed and improved. We are working in one of the most important frontiers of AI/ML research and development - Partner with world-class experts on innovative solutions: Our team members are developing novel AI/ML solutions to business challenges. In some cases, this includes the opportunity to file patents and publish papers about the methods we develop. We also collaborate with AI/ML researchers at some of the world's top universities You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week. Primary Responsibilities: - Develop novel AI approaches for healthcare using both structured and unstructured data - Build and test deep learning and traditional ML models in distributed computing environments - Design and plan experiments, conduct statistical analysis and create data visualizations - Communicate findings with business stakeholders and collaborate to develop solutions that meet customer needs - Collaborate with the Responsible Use of AI (RUAI) team to ensure that the delivered solutions are compliant with company policies and standards - Develop code and model documentation, patents and publications in scientific conferences and journals - Collaborate with engineering teams to develop robust data pipelines of MLOps procedures for new solutions - Stay up to date with latest technologies and literature You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in. Required Qualifications: - MS in computer science or related quantitative field and 5+ years of industry/academic experience in AI/ML or a related field OR a PhD and 2+ years of experience - 5+ years of AI/ML experience - 5+ years of experience with Python, classical ML methods and deep learning, including deep learning frameworks such as PyTorch or Tensorflow Preferred Qualifications: - Experience with LLM frameworks and/or NLP approaches such as text embedding and text classification - Experience with distributed computing approaches such as Spark - Experience with Snowflake and other relational databases - Experience working on collaborative software projects using GitHub - Proven solid technical communication skills *All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy. The salary range for this role is $106,800 to $194,200 annually based on full-time employment. Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. UnitedHealth Group complies with all minimum wage laws as applicable. In addition to your salary, UnitedHealth Group offers benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with UnitedHealth Group, you'll find a far-reaching choice of benefits and incentives. Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants. At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission. UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment. #OptumTechPJ
Cincinnatus is an enterprise staffing company that partners with leading technology companies to source and employ highly skilled professionals for full-time and long-term contingent roles. Cincinnatus serves as the employer of record for these engagements, providing W-2 employment, payroll, benefits, and compliance, while placing employees directly within client teams to work on high-impact initiatives. Roles hired through Cincinnatus are not project-based or freelance engagements. They are structured, role-based positions that typically involve full-time or fixed-term commitments, close collaboration with a client's internal teams, and integration into standard enterprise workflows. Cincinnatus is a legal entity separate from Mercor. While opportunities may be discovered through Mercor's platform, employment, onboarding, payroll, and benefits for these roles are administered by Cincinnatus. Equal Employment Opportunity Cincinnatus is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or any other legally protected characteristic. Cincinnatus is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans throughout the job application process.
Role Description Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: PhD Physicist — Frontier Reasoning Trajectory Writer Type: Contract Compensation: $80–$120/hour Location: Remote Commitment: 15 hours/week Role Responsibilities - Produce "golden trajectories" for hard physics problems with complete, step-by-step solutions. - Work in Studio and iterate with a frontier LLM to draft and refine reasoning. - Develop trajectories clean enough to use as training data. - Evaluate problems screened by a frontier LLM requiring failure at least once. - Work independently and asynchronously to meet deadlines. Qualifications - Must-Have: PhD in physics or in the final 1–2 years of a PhD program. - Daily-driver fluency in LaTeX and Python. - Comfort with iterative LLM workflows. - Detail-oriented; comfortable producing publication-grade derivations. Requirements - Application Process (Takes 20–30 mins to complete): - Submit your application. - Complete the short technical assessment. - Strong applicants will be invited to a follow-up interview. Resources & Support - For details about the interview process and platform information, please check: Interview Process - For any help or support, reach out to: support@mercor.com - PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
Bruker is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, national origin, disability, veteran status, and other protected characteristics.
Role Description Bruker Spatial Biology is seeking a motivated Computational Biologist to join our Technical Support team within Customer Experience. In this role, you will support data analysis for Bruker’s spatial biology platforms. You will assist in resolving customer inquiries, providing resources and tools, and delivering training for internal teams and external users. Working closely with Commercial and R&D teams, you will contribute to successful customer outcomes by helping address data analysis challenges with accuracy and scientific insight. - Support data analysis workflows and tools for Bruker’s spatial biology platforms. - Respond to technical inquiries and assist with data quality issues across transcriptomics and proteomics workflows. - Help implement and maintain analytical workflows for customer spatial ‘omics datasets. - Provide training and troubleshooting support for internal and external users. - Assist in interpreting results and linking findings to biological questions and study goals. - Communicate results clearly to both technical and non-technical audiences. - Collaborate with research scientists, software developers, and customer-facing teams to resolve challenges. - Stay informed about emerging tools and methods in spatial omics data analysis. Qualifications - S. or PhD in Computational Biology, Bioinformatics, Biostatistics, or related field; or B.S. with 2+ years of relevant experience. PhD preferred. - Experience analyzing high-dimensional ‘omics datasets (e.g., transcriptomics, proteomics) using bioinformatics and statistical methods. - Proficiency in R; familiarity with Python or other scripting languages is a plus. - Basic domain knowledge in a relevant biological area (e.g., oncology, immunology). - Ability to communicate scientific findings to diverse audiences. - Strong organizational and problem-solving skills. - Customer-focused mindset with good interpersonal and collaboration abilities. Requirements - Base salary range for this full-time position is between $101,000 to $156,000. - Salary depends on several job-related factors, including education, training, experience, geographic location, skills, competencies, job-related knowledge, and travel requirements. - Full-time employees may also be eligible for a performance-related incentive. Benefits - 401(k) with company match. - Employee stock purchase plan. - Medical and dental plans. - Life insurance. - Short-term and long-term disability insurance. - Employee assistance program. - Paid time off including vacation, sick time, and holidays. - And more. Company Description Bruker is an equal-opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics. Certain positions at Bruker require compliance with export control laws, and as a result, all interviewed candidates for all positions will be screened pre-interview to determine their eligibility in light of export control restrictions.
Excellent verbal and written communication skills. Strong organizational skills and adaptability to rapidly changing priorities and workloads. Ability to work well independently and maintain focus in a highly dynamic work environment. Comfort in working with team members that are remote and located in the US, India, or other geographies.
Role Description We are seeking an NLP Engineer with strong automation expertise to design and implement intelligent solutions that read, interpret, and operationalize CMS manuals and regulatory guidance. The role focuses on leveraging NLP and LLMs to extract rules, conditions, exceptions, and compliance logic from complex structured and unstructured CMS documentation, and automating downstream workflows using Python and enterprise automation platforms. - Design and build NLP/LLM-driven pipelines to read and interpret CMS manuals, policies, and regulatory guidance. - Extract rules, conditions, exceptions, and eligibility logic from unstructured and semi-structured CMS documents (PDFs, HTML, Word, policy manuals). - Implement Document Intelligence / Intelligent Document Processing (IDP) solutions for large-scale CMS content ingestion. - Convert extracted regulatory logic into machine-readable rules and automated workflows. - Develop and productionize automation using Python and workflow orchestration tools such as UiPath and Power Automate. - Collaborate with clinical, compliance, actuarial, and engineering stakeholders to validate rule interpretations and ensure accuracy. - Ensure outputs are traceable, auditable, and aligned with CMS compliance standards. Qualifications - Strong experience with NLP and LLM frameworks (e.g., spaCy, Hugging Face, Azure OpenAI/OpenAI). - Proven hands-on expertise in Python for text processing, rule extraction, and workflow automation. - Experience with Document Intelligence / IDP platforms and techniques. - Practical experience with UiPath, Power Automate, or similar enterprise automation tools. - Demonstrated ability to process and interpret complex regulatory and policy documents. - Experience building production-grade AI solutions in regulated industries. - Requires US residency of 3 years and subject to CMS background checks. Desired Skills - Prior experience working with CMS manuals, healthcare regulations, or payer/provider policy documentation. - Healthcare domain experience (Medicare, Medicaid, RADV, HCC, payment integrity, utilization management). - Familiarity with agentic AI, rule engines, or decision orchestration frameworks. - Cloud experience (AWS preferred). Company Description
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Python, PyTorch, Go
