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Remote Ai Data Scientist Jobs (NOW HIRING)

Trustwell

Lead AI & Data Scientist

$150K - $170K/yr

Role: Lead AI & Data Scientist FLSA: Full Time | Exempt | Salaried | Remote (US) Reports to: Chief Technology Officer Scope of Position : We are seeking a Lead AI & Data Scientist to help define ...

Apex Informatics

AI Data Scientist

AI Data Scientist Duration : 9 months Telecommute : yes Travel : no Primary Responsibilities: • Able to write a concept paper can take it from idea to implementation • Partner with Engineering ...

Alignment Healthcare

AI & Data Scientist (Remote)

The Data Scientist will combine deep analytical expertise with production-grade software ... Build AI/NLP/LLM models for document understanding and information extraction, including OCR, NER ...

DEEPREC.AI

AI Data Lead

$180K - $220K/yr

This remote AI Data Lead role will enable you to join A forward-thinking engineering culture that embraces AI tools as practical productivity accelerators and innovation enablers. What You'll Do

System One

Data Scientist (AI)

Washington, DC · Remote

$125K - $190K/yr

AI Data Scientist REMOTE US Citizen What You Will Need: * Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or related field. * Solid experience in data ...

Instant Serve LLC

AI Data Architect /REMOTE

Denver, CO · Remote

$75 - $80/hr

Remote AI Data Architect - Public Sector Location: Preferably Colorado Duration: 6 months We are seeking a forward-thinking AI Data Architect to lead data-driven initiatives in the public sector.

Alignment Healthcare

Principal AI & Data Scientist

This is a remote position within the US. Job Duties/Responsibilities * Define technical strategy and architect enterprise AI capabilities (35%): Partner with VP of Data Science & AI to establish ...

Alignment Healthcare

Sr. AI & Data Scientist

... data scientists while partnering with engineering, product, and clinical leaders to deliver measurable outcomes for Medicare Advantage members. Job Duties/Responsibilities * Architect end-to-end AI ...

Geisinger Health

AI Data Scientist Senior

Danville, PA · On-site +1

Facilitates data-driven decision-making by effectively communicating the value and impact of AI models. * Mentors and guide junior data scientists, fostering their professional growth and technical ...

MeridianLink

Data Scientist, AI Data Foundations

$114K - $175K/yr

Data Scientist, AI Data Foundations About the Role Reporting into the Data Engineering organization, the Data Scientist is responsible for designing and building the curated data structures that AI ...

Corning Incorporated

Data Scientist (Remote)

They are seeking a Data Scientist to join their Data Science & Insight team, focusing on developing ... The role involves designing and delivering enterprise-grade AI/ML models to solve complex business ...

New

Corning Incorporated

Data Scientist (Remote)

They are seeking a Data Scientist II / III to join their Data Science & Insight team, focusing on ... The role involves designing enterprise-grade AI/ML models and collaborating with cross-functional ...

New

BeyondTrust

Staff AI Data Scientist

The Role We're looking for a Staff AI Data Scientist to design, build, and deploy machine learning models and AI-driven solutions that solve complex business problems. You'll work at the intersection ...

TradeStation Group, Inc.

Principal Data Scientist

#WeAreTradeStation Remote Position - must reside in Florida, Texas, Illinois, New York, New Jersey ... We treat AI as a partner in problem-solving, not just a tool; following our governance standards to ...

TradeStation

Principal Data Scientist

#WeAreTradeStation Remote Position - must reside in Florida, Texas, Illinois, New York, New Jersey ... We treat AI as a partner in problem-solving, not just a tool; following our governance standards to ...

Steampunk

Data Scientist (Generative AI)

Mclean, VA · On-site +1

$125K - $160K/yr

Overview We are looking for seasoned Data Scientist to work with our existing team of Data Scientists and Engineers to use Generative AI technology in supporting Federal use cases. We are looking for ...

Mercor

Data Scientist

New York, NY · Remote

$70 - $100/hr

Remote Commitment: 40 hours/week Role Responsibilities * Guide research and engineering teams on ... Evaluate data science tasks and solutions produced by AI systems and other experts; provide clear ...

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All JobsRemote Ai Data Scientist Jobs

Remote Ai Data Scientist information

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$37.5K

$122.7K

$196.5K

How much do remote ai data scientist jobs pay per year?

As of Jun 10, 2026, the average yearly pay for remote ai data scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What are some common challenges faced by remote AI Data Scientists, and how can they be overcome?

Remote AI Data Scientists often encounter challenges such as collaborating effectively with cross-functional teams across different time zones and maintaining consistent communication to align on project goals. Additionally, access to large datasets and high-performance computing resources can sometimes be limited outside a traditional office setting. These challenges can be managed by leveraging robust collaboration tools, ensuring clear documentation, and proactively scheduling regular check-ins. Building a disciplined work routine and staying connected with the broader data science community can also support professional growth and project success.

What is the difference between Remote Ai Data Scientist vs Remote Machine Learning Engineer?

AspectRemote Ai Data ScientistRemote Machine Learning Engineer
Required CredentialsDegree in Data Science, AI, or related fields; proficiency in Python, R, SQLDegree in Computer Science, AI, or related; strong programming skills in Python, Java, or C++
Work EnvironmentData analysis, model development, research in cloud or remote settingsModel deployment, system optimization, software engineering in remote teams
Employer & Industry UsageTech companies, startups, research institutionsTech firms, AI product companies, software development firms

While both roles involve AI and data, Remote Ai Data Scientists focus on analyzing data and developing AI models, whereas Remote Machine Learning Engineers primarily implement, optimize, and deploy these models in production environments. The roles often overlap but differ in their core responsibilities and skill emphasis.

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

To thrive as a Remote AI Data Scientist, you need a strong background in statistics, machine learning, data analysis, and programming (typically Python or R), often supported by a degree in computer science, mathematics, or a related field. Familiarity with tools such as TensorFlow, PyTorch, SQL, cloud platforms (e.g., AWS, Azure), and relevant certifications like AWS Certified Machine Learning or Google Professional Data Engineer is highly valuable. Excellent problem-solving, communication, and self-management skills distinguish top performers, especially in remote work environments. These competencies ensure effective model development, collaborative teamwork, and the ability to deliver impactful AI solutions from any location.

What is a Remote AI Data Scientist?

A Remote AI Data Scientist is a professional who develops and applies artificial intelligence and machine learning models to analyze data and solve business problems, all while working from a location outside a traditional office environment. They use programming languages, statistical methods, and data engineering tools to extract insights and build predictive models. Remote AI Data Scientists often collaborate with cross-functional teams using online communication and project management tools. This role offers flexibility in work location and hours while requiring strong self-motivation and communication skills to succeed in a virtual setting.
More about Remote Ai Data Scientist jobs
What cities are hiring for Remote Ai Data Scientist jobs? Cities with the most Remote Ai Data Scientist job openings:
What are the most commonly searched types of Ai Data Scientist jobs? The most popular types of Ai Data Scientist jobs are:
What states have the most Remote Ai Data Scientist jobs? States with the most job openings for Remote Ai Data Scientist jobs include:
What job categories do people searching Remote Ai Data Scientist jobs look for? The top searched job categories for Remote Ai Data Scientist jobs are:
Remote Ai Data Scientist jobs near you
Infographic showing various Remote Ai Data Scientist job openings in the United States as of June 2026, with employment types broken down into 36% Full Time, 62% Part Time, and 2% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Lead AI & Data Scientist

Trustwell

Remote

$150K - $170K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 21 days ago

Job description

Trustwell is looking for ambitious, energetic problem-solvers who enjoy a fast-paced team environment filled with challenges and career growth opportunities in a rapidly growing tech firm. Trustwell is on a mission to change the food industry. Combining FoodLogiQ's supply chain management software with Genesis' nutritional analysis and label development solution, the Trustwell Connect platform creates the food industry's only full-scale solution connecting product development and regulatory-compliant labeling with supplier compliance, enhanced traceability, and automated recall management. From food and supplement manufacturers to retail grocers and restaurant chains, more than 2,500 food companies around the world use Trustwell software as their trusted source for compliance and quality solutions in the food industry. For more information, visit www.trustwell.com.
Role: Lead AI & Data Scientist
FLSA: Full Time | Exempt | Salaried | Remote (US)
Reports to: Chief Technology Officer
Scope of Position: We are seeking a Lead AI & Data Scientist to help define, implement, and
operationalize Trustwell's artificial intelligence strategy across products, engineering, data, and internal operations. This role is responsible for turning our existing and new AI systems into reliable, governed, measurable, and reusable capabilities that create practical business value.
The ideal candidate has direct experience implementing AI within an organization, including production use cases, governance models, adoption processes, data controls, evaluation frameworks, and cross-functional enablement. This person should be equally comfortable working with business leaders on AI strategy, engineers on implementation patterns, product teams on customer-facing use cases, and security/compliance stakeholders on responsible AI controls.
This is a high-impact role for someone who understands applied AI, data science, machine learning, LLMs, agentic workflows, data governance, and enterprise adoption. The role requires strong technical judgment, practical implementation experience, and the ability to create structure in a rapidly evolving technology area.
Essential Duties & Responsibilities including but limited to:
  • Define and help execute Trustwell's applied AI strategy across product, engineering, data, and internal business operations
  • Lead the implementation of AI capabilities that are practical, measurable, secure, and aligned to business outcomes
  • Establish AI governance practices, including usage policies, risk controls, evaluation standards, approval processes, and ongoing monitoring
  • Partner with Engineering to design repeatable AI implementation patterns for LLMs, agents, retrieval-augmented generation, structured outputs, model evaluation, observability, and production operations
  • Partner with Product to identify, evaluate, and prioritize AI-enabled product opportunities that improve customer value and operational efficiency
  • Develop frameworks for assessing AI use cases, including feasibility, risk, data availability, implementation complexity, cost, and expected business impact
  • Create and maintain standards for responsible AI usage, including data handling, prompt management, model selection, explainability, auditability, and human-in-the-loop controls
  • Build and guide AI evaluation processes, including test datasets, regression testing, hallucination detection, quality scoring, accuracy measurement, and production feedback loops
  • Help establish internal AI adoption processes, including development workflows, engineering enablement, training, approved tooling, and practical usage guidelines
  • Work with Security, Legal, Compliance, and IT stakeholders to ensure AI implementations align with Trustwell's data protection, privacy, contractual, and security obligations
  • Analyze structured and unstructured data to identify opportunities for automation, prediction, classification, summarization, enrichment, and decision support
  • Develop prototypes, proofs of concept, and production-ready analytical or AI workflows where appropriate
  • Provide technical leadership on model selection, vendor evaluation, build-versus-buy decisions, AI cost management, and long-term platform strategy
  • Collaborate with data engineering and application teams to improve data readiness, data quality, metadata, lineage, and retrieval strategies for AI-enabled systems
  • Define metrics and reporting to measure AI adoption, performance, quality, cost, risk, and business impact
  • Act as a trusted advisor and mentor to engineering, product, and business teams as they adopt AI responsibly and effectively
  • Other duties as required.

Required Skills/Abilities
  • 8+ years of professional experience across data science, machine learning, AI engineering, data engineering, software engineering, or related technical disciplines, with demonstrated experience leading applied AI initiatives from concept through implementation
  • Direct experience establishing or operating AI governance, evaluation, adoption, or production-readiness processes within an organization
  • Hands-on experience implementing AI or machine learning capabilities in a production, enterprise, or customer-facing environment
  • Strong understanding of modern AI technologies, including LLMs, embeddings, retrieval-augmented generation, prompt engineering, structured outputs, agentic workflows, and model evaluation
  • Experience translating business problems into practical AI, data science, analytics, or automation solutions
  • Ability to evaluate AI use cases based on business value, technical feasibility, data readiness, operational risk, and implementation cost
  • Experience establishing responsible AI practices, including data privacy, security, bias awareness, explainability, human review, auditability, and acceptable use controls
  • Strong analytical skills with the ability to work with structured and unstructured data
  • Experience with Python and common data science, machine learning, or AI development libraries and frameworks
  • Familiarity with APIs, cloud services, data pipelines, vector stores, and production software delivery practices
  • Experience defining quality measurement approaches for AI systems, including benchmark datasets, test cases, quality scoring, drift monitoring, and regression evaluation
  • Strong communication skills with the ability to explain AI concepts, risks, trade-offs, and implementation plans to technical and non-technical stakeholders
  • Pragmatic judgment with the ability to balance innovation, governance, speed, cost, and risk
  • Collaborative, approachable working style with the ability to influence across teams without direct authority

Education/Experience
  • Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Artificial Intelligence, or a related field, or equivalent professional experience
  • Advanced degree in a quantitative, technical, or AI-related discipline preferred but not required
  • Experience implementing generative AI or LLM-based capabilities in a SaaS, software, regulatory, compliance, supply chain, or data-intensive business environment
  • Experience with AI governance frameworks, model risk management, responsible AI programs, or enterprise AI operating models
  • Experience with OpenAI, Anthropic, Google, AWS, Azure, or similar AI/ML platforms
  • Experience with vector databases or retrieval systems such as Chroma, Pinecone, Weaviate, OpenSearch, MongoDB Atlas Vector Search, or similar technologies
  • Experience with data platforms such as MongoDB, Snowflake, SQL Server, PostgreSQL, or cloud-native data services
  • Experience with cloud environments, preferably AWS
  • Experience with MLOps, LLMOps, observability, evaluation pipelines, model monitoring, and AI cost management
  • Experience working with product and engineering teams to move AI prototypes into production
  • Experience creating internal AI usage policies, review boards, enablement materials, training programs, or implementation playbooks
  • Experience with compliance-sensitive environments involving customer data, privacy requirements, auditability, or regulated industries

Total Rewards Package:
  • Full healthcare benefits, including medical, dental, and vision.
  • Supplemental benefits, including STD, LTD, HSA, 401k, etc.
  • Responsible Time Off (PTO) + Holiday Pay
  • Competitive Compensation + Bonus!
  • Excellent culture, growth opportunities, plus much more...

What to expect - the Hiring Process!
  • Interview with Human Resources
  • Interview with Hiring Manager
  • Peer Panel Interview
  • Offer of Employment (Background Screening/References)

The compensation for this role is based on several factors, including the candidate's experience, education, skills, and alignment with the responsibilities outlined for the role. The anticipated salary range for this role is posted below, with most candidates hired in the mid-range. This role is also eligible for an annual bonus opportunity of up to 10%, in addition to participation in the Company's equity program.
To learn more about the culture & employee experience at Trustwell, check out our LinkedIn or GlassDoor!
Trustwell is an equal employment opportunity employer committed to hiring and retaining a diverse workforce. Applicants receive fair and impartial consideration without regard to race, sex, sexual orientation, gender identity, color, religion, national origin, age, disability, veteran status, religion, or other legally protected class. If you need accommodation for any part of the employment process due to a medical condition, or any disability, please contact a member of our human resources team.
Acceptable Background and References Required; Upon any conditional offers made by Trustwell. Equal Opportunity Employer/ DFWP/ Affirmative Action
The pay range for this role is:
150,000 - 170,000 USD per year (Remote (United States))

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