Remote AI Solutions Engineer Jobs
Remote AI Solutions Engineer jobs are in active demand across the U.S., with remote-first firms and distributed teams hiring across technology, financial services, and enterprise software. Employers posting remote roles right now include Genesys, NVIDIA, and Mirantis. Find a role that fits below and apply directly.
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Showing 4 of 133+ Remote AI Solutions Engineer jobs
At Robotic Data we create the real-world datasets that power autonomous vehicles, humanoid robots, drones, industrial automation, and the next generation of Physical AI. From understanding cities and navigating complex environments to interacting safely with people and learning human tasks, we help robots understand and operate in the real world. Our teams work across complex real-world environments to deliver high-quality data and operational solutions for companies developing products in areas such as artificial intelligence, robotics, autonomy, mapping, and emerging technologies. Through a combination of specialized data collection, technical expertise, scalable field operations, and user research, Robotic Data helps clients obtain the real-world data and insights needed to develop, test, validate, and improve their technologies, building Data for the Physical AI Revolution. Whether customers are training foundation models, validating autonomous systems, building humanoid robots or deploying intelligent machines into the real world, Robotic Data provides the real-world data that makes Physical AI possible. Let's build the future together. Location Requirement: Candidates must reside in or within commuting distance of the San Francisco Bay Area and be available for in-person client meetings as required. Applicants who cannot reliably commute to the Bay Area will not be considered. DESCRIPTIONRobotic Data is seeking an accomplished Enterprise Account Executive with established relationships in the AI training-data, Physical AI, robotics, or autonomous systems ecosystem to drive new business development across our Human Data, Robotics/Autonomy, Egocentric/Exocentric Data Collection, and Technology Research businesses.This position is intended for an experienced, well-connected sales professional who understands the organizations purchasing real-world training data and related services and has existing relationships with decision-makers responsible for AI model development, data acquisition, robotics research, and autonomous systems. The successful candidate must bring an established network of relevant prospective customers and the ability to leverage those relationships to generate qualified business opportunities immediately upon joining Robotic Data. We are looking for a self-directed sales professional who can identify target accounts, establish direct engagement with appropriate decision-makers, understand their current and anticipated data requirements, and develop opportunities that lead to revenue within the first 90–120 days.This is a hands-on, individual-contributor sales position requiring strong prospecting, relationship management, opportunity development, and deal-closing capabilities. The successful candidate must be comfortable independently developing new business while coordinating with Robotic Data's technical, operational, project management, and finance teams to structure and deliver commercially viable solutions. The position reports to the Chief Revenue Officer (CRO). KEY EXISTING RELATIONSHIPS
- AI Training Data Buyers, Data Acquisition Leaders, and Dataset Procurement Decision-Makers
- AI/ML Research and Development Leaders
- Robotics, Physical AI, and Autonomous Systems Companies
- Technology Company Executives and Strategic Decision-Makers
- Technical Program Managers and Research Teams
- Data Collection and Operations Teams
- Data Processing and Analytics Teams
- Finance and Commercial Operations
ESSENTIAL DUTIES AND RESPONSIBILITIES
- Leverage existing professional relationships with AI training-data buyers, robotics companies, and major technology organizations to generate new business opportunities.
- Identify and directly engage prospective customers with active or emerging requirements for human data, real-world training datasets, egocentric/exocentric data, robotics data collection, and related services.
- Develop and execute a targeted account strategy focused on organizations with near-term purchasing potential.
- Establish a qualified sales pipeline through direct customer relationships, industry contacts, referrals, and proactive business development.
- Demonstrate the ability to identify specific target accounts, understand their purchasing organizations, and navigate established relationships to reach relevant decision-makers.
- Pursue opportunities capable of progressing toward revenue generation within the first 90–120 days while building a longer-term pipeline of strategic accounts.
- Understand customer requirements related to AI model training, data acquisition, robotics development, autonomy, research, testing, and validation.
- Translate complex technical and operational requirements into practical data collection and service solutions in collaboration with internal teams.
- Clearly communicate Robotic Data's capabilities and value proposition to technical and commercial stakeholders.
- Manage the complete sales cycle, including prospecting, discovery, qualification, solution development, pricing, proposal preparation, negotiation, and contract award.
- Build and maintain relationships with decision-makers responsible for technical requirements, data procurement, budgeting, and purchasing decisions.
- Independently advance sales opportunities while effectively leveraging internal resources when technical, operational, or financial expertise is required.
- Collaborate with internal Operations, Technical, Project Management, and Finance teams to develop scopes of work, pricing models, and commercially viable proposals.
- Maintain accurate and timely account, pipeline, client interaction, and opportunity information within Robotic Data's CRM.
- Represent Robotic Data at relevant industry conferences, customer meetings, research events, and business development activities.
- Take ownership of new business development results and proactively resolve obstacles to advancing opportunities.
REQUIRED QUALIFICATIONS
- 8+ years of quota-carrying B2B enterprise sales or business development experience, including demonstrated success selling technical services or solutions to major technology companies.
- Established professional relationships with decision-makers involved in purchasing AI training data, data collection services, or closely related solutions within major technology, AI research, robotics, or autonomous systems organizations.
- Demonstrated experience selling AI training-data services, data acquisition or collection solutions, or closely related technical services supporting AI/ML development, robotics, or autonomous systems.
- Ability to identify specific prospective accounts and demonstrate existing relationships with individuals who influence or authorize purchasing decisions for relevant data and services.
- Proven success generating new business through an existing industry network rather than relying primarily on inbound leads, marketing-generated opportunities, or lengthy relationship-building cycles.
- Demonstrated ability to independently prospect, qualify, develop, negotiate, and close complex B2B opportunities.
- Experience developing near-term revenue opportunities while maintaining a strategic pipeline of longer-term business.
- Strong understanding of how major technology companies evaluate, procure, and use external data collection and training-data services.
- Ability to communicate effectively with technical leaders, researchers, procurement professionals, and executive decision-makers.
- Demonstrated record of meeting or exceeding sales targets and generating measurable revenue.
- Ability to operate independently in an entrepreneurial, fast-moving business environment with limited day-to-day supervision and support.
- Strong written and verbal communication, presentation, relationship-building, and negotiation skills.
- Experience with CRM systems and standard business productivity tools.
- Must reside in or within commuting distance of the San Francisco Bay Area.
- Ability to travel domestically up to 20%.
PREFERRED QUALIFICATIONS
- Direct experience selling human data, egocentric/exocentric datasets, embodied AI training data, robotics data collection, or other real-world datasets used to develop AI models.
- Current established relationships within AI research organizations, foundation-model developers, robotics companies, autonomous vehicle companies, or major technology companies purchasing external training data.
- Experience selling custom data collection programs, specialized datasets, or outsourced technical services.
- Familiarity with the commercial and technical requirements associated with AI model training, data acquisition, data quality, and dataset development.
- Experience with HubSpot or Pipedrive CRM systems.
JOB DETAILS Job Type: Permanent / Full Time Compensation & Benefits
- Base Salary: $175,000 annually
- Commission: Uncapped, performance-based commission structure with competitive earning potential
- Benefits: Comprehensive benefits package in accordance with company policies
Location: Remote / Work from Home — San Francisco Bay Area. Candidates must reside within commuting distance of the Bay Area and be available for in-person client meetings and domestic travel up to 20% as business needs require. Work Authorization: Must be legally authorized to work in the United States.
About Us: Robotic Data provides the real-world data infrastructure for Physical AI. The company combines World Data and Human Data to create high-quality datasets that enable autonomous vehicles, drones, embodied AI, humanoid robots, and other intelligent systems to understand, navigate, and operate safely in the physical world. Learn more at www.roboticdata.com.
EEO Statement: Robotic Data is an equal opportunity employer. All qualified applicants will receive consideration for employment. Supplier shall not discriminate against any worker based on age, disability, ethnicity, gender, marital status, national origin, political affiliation, color, race, religion, sexual orientation, gender identity or expression, union membership, protected veteran status, genetic information, or any other status protected by country law, in hiring and other employment practices. Supplier shall not require pregnancy or medical tests, except where required by applicable laws or regulations or prudent for workplace safety, and shall not improperly discriminate based on test results. DISCLAIMER: All claims and offers to compensation, rewards, and onboarding procedures are at the sole discretion of Robotic Data.
Pay: $175,000.00 per year
Benefits:
- Dental insurance
- Health insurance
- Life insurance
- Paid time off
- Vision insurance
Application Question(s):
- Do you have proven success building relationships with key stakeholders across technical, operational, procurement, and executive functions with large tech organizations?
- Do you have 8+ years of quota-carrying B2B sales or business development experience, with demonstrated success selling technical services or solutions to major technology companies?
- Do you have a demonstrated record of meeting or exceeding sales targets and generating measurable revenue?
- Do you have any knowledge or experience with Geospatial technology?
Location:
- San Francisco Bay Area, CA (Required)
Work Location: Remote
At Robotic Data we create the real-world datasets that power autonomous vehicles, humanoid robots, drones, industrial automation, and the next generation of Physical AI. From understanding cities and navigating complex environments to interacting safely with people and learning human tasks, we help robots understand and operate in the real world. Our teams work across complex real-world environments to deliver high-quality data and operational solutions for companies developing products in areas such as artificial intelligence, robotics, autonomy, mapping, and emerging technologies. Through a combination of specialized data collection, technical expertise, scalable field operations, and user research, Robotic Data helps clients obtain the real-world data and insights needed to develop, test, validate, and improve their technologies, building Data for the Physical AI Revolution. Whether customers are training foundation models, validating autonomous systems, building humanoid robots or deploying intelligent machines into the real world, Robotic Data provides the real-world data that makes Physical AI possible. Let's build the future together. Location Requirement: Candidates must reside in or within commuting distance of the San Francisco Bay Area and be available for in-person client meetings as required. Applicants who cannot reliably commute to the Bay Area will not be considered. DESCRIPTIONRobotic Data is seeking an accomplished Enterprise Account Executive with established relationships in the AI training-data, Physical AI, robotics, or autonomous systems ecosystem to drive new business development across our Human Data, Robotics/Autonomy, Egocentric/Exocentric Data Collection, and Technology Research businesses.This position is intended for an experienced, well-connected sales professional who understands the organizations purchasing real-world training data and related services and has existing relationships with decision-makers responsible for AI model development, data acquisition, robotics research, and autonomous systems. The successful candidate must bring an established network of relevant prospective customers and the ability to leverage those relationships to generate qualified business opportunities immediately upon joining Robotic Data. We are looking for a self-directed sales professional who can identify target accounts, establish direct engagement with appropriate decision-makers, understand their current and anticipated data requirements, and develop opportunities that lead to revenue within the first 90–120 days.This is a hands-on, individual-contributor sales position requiring strong prospecting, relationship management, opportunity development, and deal-closing capabilities. The successful candidate must be comfortable independently developing new business while coordinating with Robotic Data's technical, operational, project management, and finance teams to structure and deliver commercially viable solutions. The position reports to the Chief Revenue Officer (CRO). KEY EXISTING RELATIONSHIPS
- AI Training Data Buyers, Data Acquisition Leaders, and Dataset Procurement Decision-Makers
- AI/ML Research and Development Leaders
- Robotics, Physical AI, and Autonomous Systems Companies
- Technology Company Executives and Strategic Decision-Makers
- Technical Program Managers and Research Teams
- Data Collection and Operations Teams
- Data Processing and Analytics Teams
- Finance and Commercial Operations
ESSENTIAL DUTIES AND RESPONSIBILITIES
- Leverage existing professional relationships with AI training-data buyers, robotics companies, and major technology organizations to generate new business opportunities.
- Identify and directly engage prospective customers with active or emerging requirements for human data, real-world training datasets, egocentric/exocentric data, robotics data collection, and related services.
- Develop and execute a targeted account strategy focused on organizations with near-term purchasing potential.
- Establish a qualified sales pipeline through direct customer relationships, industry contacts, referrals, and proactive business development.
- Demonstrate the ability to identify specific target accounts, understand their purchasing organizations, and navigate established relationships to reach relevant decision-makers.
- Pursue opportunities capable of progressing toward revenue generation within the first 90–120 days while building a longer-term pipeline of strategic accounts.
- Understand customer requirements related to AI model training, data acquisition, robotics development, autonomy, research, testing, and validation.
- Translate complex technical and operational requirements into practical data collection and service solutions in collaboration with internal teams.
- Clearly communicate Robotic Data's capabilities and value proposition to technical and commercial stakeholders.
- Manage the complete sales cycle, including prospecting, discovery, qualification, solution development, pricing, proposal preparation, negotiation, and contract award.
- Build and maintain relationships with decision-makers responsible for technical requirements, data procurement, budgeting, and purchasing decisions.
- Independently advance sales opportunities while effectively leveraging internal resources when technical, operational, or financial expertise is required.
- Collaborate with internal Operations, Technical, Project Management, and Finance teams to develop scopes of work, pricing models, and commercially viable proposals.
- Maintain accurate and timely account, pipeline, client interaction, and opportunity information within Robotic Data's CRM.
- Represent Robotic Data at relevant industry conferences, customer meetings, research events, and business development activities.
- Take ownership of new business development results and proactively resolve obstacles to advancing opportunities.
REQUIRED QUALIFICATIONS
- 8+ years of quota-carrying B2B enterprise sales or business development experience, including demonstrated success selling technical services or solutions to major technology companies.
- Established professional relationships with decision-makers involved in purchasing AI training data, data collection services, or closely related solutions within major technology, AI research, robotics, or autonomous systems organizations.
- Demonstrated experience selling AI training-data services, data acquisition or collection solutions, or closely related technical services supporting AI/ML development, robotics, or autonomous systems.
- Ability to identify specific prospective accounts and demonstrate existing relationships with individuals who influence or authorize purchasing decisions for relevant data and services.
- Proven success generating new business through an existing industry network rather than relying primarily on inbound leads, marketing-generated opportunities, or lengthy relationship-building cycles.
- Demonstrated ability to independently prospect, qualify, develop, negotiate, and close complex B2B opportunities.
- Experience developing near-term revenue opportunities while maintaining a strategic pipeline of longer-term business.
- Strong understanding of how major technology companies evaluate, procure, and use external data collection and training-data services.
- Ability to communicate effectively with technical leaders, researchers, procurement professionals, and executive decision-makers.
- Demonstrated record of meeting or exceeding sales targets and generating measurable revenue.
- Ability to operate independently in an entrepreneurial, fast-moving business environment with limited day-to-day supervision and support.
- Strong written and verbal communication, presentation, relationship-building, and negotiation skills.
- Experience with CRM systems and standard business productivity tools.
- Must reside in or within commuting distance of the San Francisco Bay Area.
- Ability to travel domestically up to 20%.
PREFERRED QUALIFICATIONS
- Direct experience selling human data, egocentric/exocentric datasets, embodied AI training data, robotics data collection, or other real-world datasets used to develop AI models.
- Current established relationships within AI research organizations, foundation-model developers, robotics companies, autonomous vehicle companies, or major technology companies purchasing external training data.
- Experience selling custom data collection programs, specialized datasets, or outsourced technical services.
- Familiarity with the commercial and technical requirements associated with AI model training, data acquisition, data quality, and dataset development.
- Experience with HubSpot or Pipedrive CRM systems.
JOB DETAILS Job Type: Permanent / Full Time Compensation & Benefits
- Base Salary: $175,000 annually
- Commission: Uncapped, performance-based commission structure with competitive earning potential
- Benefits: Comprehensive benefits package in accordance with company policies
Location: Remote / Work from Home — San Francisco Bay Area. Candidates must reside within commuting distance of the Bay Area and be available for in-person client meetings and domestic travel up to 20% as business needs require. Work Authorization: Must be legally authorized to work in the United States.
About Us: Robotic Data provides the real-world data infrastructure for Physical AI. The company combines World Data and Human Data to create high-quality datasets that enable autonomous vehicles, drones, embodied AI, humanoid robots, and other intelligent systems to understand, navigate, and operate safely in the physical world. Learn more at www.roboticdata.com.
EEO Statement: Robotic Data is an equal opportunity employer. All qualified applicants will receive consideration for employment. Supplier shall not discriminate against any worker based on age, disability, ethnicity, gender, marital status, national origin, political affiliation, color, race, religion, sexual orientation, gender identity or expression, union membership, protected veteran status, genetic information, or any other status protected by country law, in hiring and other employment practices. Supplier shall not require pregnancy or medical tests, except where required by applicable laws or regulations or prudent for workplace safety, and shall not improperly discriminate based on test results. DISCLAIMER: All claims and offers to compensation, rewards, and onboarding procedures are at the sole discretion of Robotic Data.
Pay: $175,000.00 per year
Benefits:
- Dental insurance
- Health insurance
- Life insurance
- Paid time off
- Vision insurance
Application Question(s):
- Do you have proven success building relationships with key stakeholders across technical, operational, procurement, and executive functions with large tech organizations?
- Do you have 8+ years of quota-carrying B2B sales or business development experience, with demonstrated success selling technical services or solutions to major technology companies?
- Do you have a demonstrated record of meeting or exceeding sales targets and generating measurable revenue?
- Do you have any knowledge or experience with Geospatial technology?
Location:
- San Francisco Bay Area, CA (Required)
Work Location: Remote
See All 133+ Remote AI Solutions Engineer Jobs
Find roles that match your experience and apply in just a few clicks.
Find JobsRemote AI Solutions Engineer Job Market
Who's Hiring
Top Industries Hiring
- Technology & Software
- Consulting & Professional Services
- Renewable Energy
- Education
- Insurance
What Employers Look For
The qualifications that appear most often in remote AI solutions engineer jobs.
- Bachelor's or master's degree in computer science, data science, or a related engineering field
- Hands-on experience with large language model APIs such as OpenAI, Anthropic, or Google Gemini
- Proficiency in Python and at least one cloud platform including AWS, Azure, or GCP
- Experience designing and deploying retrieval-augmented generation or agentic AI pipelines
- Familiarity with MLOps tooling for model versioning, monitoring, and continuous evaluation
- Strong written and verbal communication skills for translating technical solutions to business stakeholders
Tips for Your Remote AI Solutions Engineer Job Search
Document your AI builds for async review
Remote hiring managers evaluate your work without meeting you first. Write up each AI project with the problem, your architecture choices, tools used, and measurable outcomes. Clear async documentation signals you can work independently and communicate across time zones.
Target companies with distributed engineering teams
Remote ai solutions engineer roles concentrate at remote-first software firms and enterprises with distributed product teams. Focus your search on companies that have publicly shipped AI products to business clients, since those teams have established remote workflows and dedicated headcount for this role.
Apply early to remote roles that fit
Migrate Mate lists remote ai solutions engineer openings from across the U.S. in one place. Search by role and apply directly to the positions that match your stack and experience level. Remote roles close fast when hiring managers are working asynchronously and reviewing applications on a rolling basis.
Prepare for async-heavy remote interviews
Many remote ai solutions engineer interview processes include take-home technical assessments, async video responses, or written design reviews before any live call. Practice explaining ML architecture decisions in writing and build comfort with asynchronous feedback loops before your first screening round.
Remote AI Solutions Engineer Jobs: Frequently Asked Questions
How do I get a remote ai solutions engineer job?
Remote ai solutions engineer roles go to candidates who can demonstrate both technical depth and the ability to work without daily supervision. Remote-first companies and distributed enterprise teams screen heavily for written communication, async collaboration, and hands-on experience with ML frameworks, cloud platforms, and solution architecture. Building a portfolio of deployed AI projects, contributing to open-source work, and showing clear documentation habits give you a measurable edge over candidates who only list credentials.
Which companies hire remote ai solutions engineers?
Remote ai solutions engineer roles are posted by Genesys, NVIDIA, and Mirantis and others right now, based on current remote listings on Migrate Mate as of November 2026. The hiring companies tend to be remote-first technology firms, distributed SaaS platforms, and enterprise software organizations that build and sell AI-driven products to business clients.
Can you get a remote ai solutions engineer job with no experience?
Yes, but remote entry-level ai solutions engineer roles are competitive because you're expected to operate independently from day one without on-site guidance. Remote-first startups and smaller distributed teams are more open to junior candidates than large enterprises. What opens the door is a portfolio of real AI builds, demonstrated ability to communicate technical decisions in writing, and familiarity with the tools remote teams actually use, such as cloud ML services and async project management systems.
Do you need a degree for remote ai solutions engineer jobs?
Not always. Many remote employers weigh demonstrated skills, a strong project portfolio, and relevant certifications more heavily than a specific degree when hiring ai solutions engineers. Proficiency with machine learning frameworks, cloud architecture, and the ability to translate AI capabilities into client-facing solutions matters more to most distributed teams than where you studied. A degree in computer science or a related field can accelerate screening, but verifiable work and results can substitute for it.
Which industries hire the most remote ai solutions engineers?
Remote ai solutions engineer roles concentrate in Technology & Software, Consulting & Professional Services, and Renewable Energy, based on current remote listings on Migrate Mate as of November 2026. These sectors rely on distributed engineering and customer success teams that build, deploy, and support AI solutions without requiring engineers to sit in a single office.
See All 133+ Remote AI Solutions Engineer Jobs
Find roles that match your experience and apply in just a few clicks.
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