This page tracks remote nlp engineer openings that are location-eligible for Pennsylvania.
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Solventum is dedicated to improving healthcare options and health outcomes through cutting-edge solutions in health, materials, and data science. The company ai
• Supporting clinical Natural Language Understanding (NLU) system by maintaining and improving grammars, parsers, and terminologies • Extracting, manipulating, and analyzing textual data and annotations using Python and batch scripts • Determining solutions and priorities for NLU issues and enhancement requests • Implementing and testing solutions in coordination with clinical, technical, and business teams • Willingness to be on-call
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
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
Alight Inc. (NYSE: ALIT) is a leading cloud-based human capital technology and services provider
Role Description Support Alight’s Generative AI roadmap as an NLP Engineer by designing capabilities and solutions using LLMs and transformer-based architectures. Responsibilities - Evaluate base search appliance configurations and assess their impact on search results. - Review and test the latest Large Language Models and develop capabilities using LLM endpoints. - Design and implement new capabilities and configurations in the OpenSearch environment. - Identify opportunities to improve search and retrieval performance based on client needs. - Provide guidance on conversational AI and related strategy. - Communicate with stakeholders to understand requirements and provide updates. - Submit and track Maestro or JIRA requests. Qualifications - 2–5 years of experience in AI technology roles focused on natural language models. - Working knowledge of process mapping and process design. - Experience with Scaled Agile (SAFe). - Strong problem-solving skills with the ability to align business objectives with data insights. - Completion of a program of study typically requiring four years of post-secondary education or equivalent. Requirements - Alight requires all virtual interviews to be conducted on video. Benefits - Programs and plans for a healthy mind, body, wallet, and life. - Variety of health coverage options. - Wellbeing and support programs. - Retirement plans. - Vacation and sick leave. - Maternity, paternity & adoption leave. - Continuing education and training. - Several voluntary benefit options.
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Python, Java, PyTorch, Go
