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Artificial Intelligence Food Jobs (NOW HIRING)

Ipsos

Social Intelligence Director

Chicago, IL · On-site

... food trends, the media landscape, and more. Further, you will have the opportunity to work with and enhance a state-of-the-art artificial intelligence platform revolutionizing the way the market ...

Ipsos

Social Intelligence Director

Chicago, IL

... food trends, the media landscape, and more. Further, you will have the opportunity to work with and enhance a state-of-the-art artificial intelligence platform revolutionizing the way the market ...

Ipsos

Social Intelligence Director

Chicago, IL

... food trends, the media landscape, and more. Further, you will have the opportunity to work with and enhance a state-of-the-art artificial intelligence platform revolutionizing the way the market ...

Actalent

Food Technologist

Brockton, MA

$28 - $30/hr

Ensure food safety and quality standards for all products produced or packaged daily. Report and ... Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of ...

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$11K

$102.9K

$133K

How much do artificial intelligence food jobs pay per year?

As of Jun 10, 2026, the average yearly pay for artificial intelligence food in the United States is $102,938.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,000.00 and $132,500.00 per year, depending on experience, location, and employer.

What is an Artificial Intelligence Food specialist?

An Artificial Intelligence Food specialist is a professional who applies AI technologies to the food industry, working to optimize food production, safety, quality control, and personalized nutrition. They use tools like machine learning, computer vision, and data analytics to automate processes such as food sorting, supply chain management, and recipe development. Their work helps companies innovate, reduce waste, and meet consumer demands more efficiently. This role often involves collaborating with food scientists, engineers, and software developers to implement AI-driven solutions.

Which 3 jobs will survive AI?

Artificial Intelligence Food jobs that involve complex decision-making, creativity, and emotional intelligence are more likely to survive AI automation. Roles such as food scientists, culinary innovators, and quality assurance specialists require human judgment and sensory skills that AI cannot fully replicate. These positions often demand specialized knowledge, hands-on experience, and adaptability in a dynamic environment.

What is the difference between Artificial Intelligence Food vs Data Scientist?

AspectArtificial Intelligence FoodData Scientist
Required CredentialsDegree in Food Science, Computer Science, or related fields; certifications in AI or machine learningDegree in Statistics, Computer Science, or related fields; certifications in data analysis or machine learning
Work EnvironmentFood manufacturing facilities, R&D labs, tech companies developing AI for foodOffices, research labs, tech companies, data-driven industries
Employer & Industry UsageFood industry, tech startups focusing on AI food solutionsTech companies, finance, healthcare, consulting

Artificial Intelligence Food professionals focus on applying AI technologies to food production, safety, and innovation, often working within the food industry. Data Scientists analyze large datasets across various sectors, including food, to extract insights and develop models. While both roles require strong analytical skills and technical knowledge, Artificial Intelligence Food specialists are more industry-specific, whereas Data Scientists have broader application across multiple fields.

What is the highest paid job in food technology?

In food technology, senior roles such as Food Science Directors or R&D Directors typically have the highest salaries, often exceeding six figures. These positions require advanced degrees, extensive experience, and leadership skills in product development, quality assurance, or regulatory compliance.

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level positions in artificial intelligence, such as AI research directors, chief AI officers, or senior data scientists, often requiring advanced skills in machine learning, deep learning, and programming. These roles usually involve leadership, strategic planning, and extensive experience, and they may be found in large tech companies or specialized AI firms with competitive compensation packages. Such salaries reflect the high demand and specialized expertise in the AI industry.

What are the key skills and qualifications needed to thrive as an Artificial Intelligence Food Specialist, and why are they important?

To thrive as an Artificial Intelligence Food Specialist, you need expertise in data science, machine learning, and food science, often backed by a degree in computer science, engineering, or a related field. Proficiency with programming languages like Python, AI frameworks (such as TensorFlow or PyTorch), and industry-standard data analysis tools is typically required. Strong problem-solving skills, creativity, and effective communication help translate AI insights into practical food industry solutions. These skills ensure innovative product development, efficient processes, and the ability to bridge technology with food sector needs.

What jobs pay $2000 a day?

High-paying jobs related to artificial intelligence, such as AI research scientists, machine learning engineers, and data science directors, can sometimes earn $2000 or more per day through consulting, project-based work, or executive roles. These positions typically require advanced degrees, specialized skills, and extensive experience in AI development and deployment.

How does an Artificial Intelligence Food Specialist typically collaborate with culinary teams and software developers to create innovative food solutions?

An Artificial Intelligence Food Specialist often acts as a bridge between culinary experts and technology teams. They work closely with chefs to understand recipe requirements and nutritional goals, while also partnering with software developers to design and refine AI models that can optimize menus, predict food trends, or enhance ingredient sourcing. Regular meetings, recipe-testing sessions, and cross-functional workshops are common, ensuring that both food science and technological perspectives are integrated. This collaborative environment fosters innovation and ensures that AI-driven solutions are both practical and appealing in real-world food applications.
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Artificial Intelligence Food jobs near you
Infographic showing various Artificial Intelligence Food job openings in the United States as of June 2026, with employment types broken down into 80% Full Time, and 20% Contract. Highlights an 100% In-person job distribution, with an average salary of $102,938 per year, or $49.5 per hour.

Director of Artificial Intelligence

The Greater Boston Food

Boston, MA • On-site

$117K - $153K/yr

Full-time

Posted 14 days ago

Job description



Reports to: SVP of Digital Strategy

Purpose:

The Director of Artificial Intelligence is responsible for the vision, strategy, and execution of AI-powered solutions across GBFB's operations, programs, and stakeholder ecosystem. This role translates the organization's mission — ending hunger in Eastern Massachusetts — into intelligent, scalable systems that amplify human impact. The Director leads GBFB's AI Innovation Lab and serves as the internal authority on responsible AI adoption, ensuring every deployment is ethical, explainable, and aligned with organizational values.

Responsibilities:

Strategy & Vision

  • Define and own GBFB's multi-year AI strategy, roadmap, and governance framework, aligned with the organization's operational and mission priorities
  • Identify and evaluate emerging AI technologies — including generative AI, predictive analytics, computer vision, and NLP — for practical application across supply chain, donor engagement, programs, and finance
  • Serve as a trusted advisor to the VP of Digital Strategy, executive team, and board on AI investment, risk, and opportunity
  • Maintain a long-term AI investment plan integrated with GBFB's broader digital and enterprise architecture roadmaps

Delivery & Operations

  • Lead the AI Innovation Lab: own its agenda, prioritize use cases, and drive pilots from ideation through production deployment
  • Oversee the design, development, and governance of AI and machine learning models, ensuring performance, fairness, and compliance
  • Partner with Enterprise Architecture, PMO, analytics and business stakeholders to embed AI into mission-critical workflows.
  • Manage vendor and third-party AI partnerships, including model selection, contract oversight, and performance accountability
  • Define and implement AI data standards, model documentation practices, and audit-ready governance controls

People & Culture

  • Build, lead, and develop a high-performing AI team
  • Foster a culture of responsible experimentation by enabling staff to explore AI tools while maintaining appropriate guardrails
  • Translate complex AI concepts for non-technical audiences including program staff, donors, and board members
  • Mentor Train and develop team members through coaching, skills investment, and stretch assignments

Governance & Responsible AI

  • Develop and maintain GBFB's AI ethics and responsible use policy, including guidelines for generative AI, bias mitigation, and data privacy
  • Establish model risk management practices consistent with nonprofit and regulatory expectations
  • Ensure AI systems comply with data governance policies and protect the privacy of community members served

Skills:

  • Deep expertise in applied AI/ML — from model development through production deployment in real-world environments
  • Proficiency in modern AI platforms, cloud infrastructure (AWS, Azure, or GCP), and LLM integration (e.g., Anthropic, OpenAI)
  • Strong understanding of data architecture, ETL pipelines, and the data foundations that enable reliable AI
  • Exceptional ability to bridge technical rigor and business impact — speaking fluently to engineers and executives alike
  • Proven experience with responsible AI frameworks: explainability, fairness, auditability, and privacy
  • Excellent written, oral, and presentation communication skills
  • Salesforce, NetSuite, or nonprofit CRM/ERP knowledge a plus

Qualifications:

  • 10+ years of experience in technology leadership, with at least 2 years focused on AI, machine learning, or advanced analytics
  • Demonstrated track record of taking AI initiatives from concept to measurable operational impact and not proof of concept
  • Experience managing and developing data science or AI teams in complex, cross-functional environments
  • Strong commercial and stakeholder awareness a proven track record of keeping business and mission outcomes at the center of technology decisions
  • Experience defining AI governance frameworks and navigating the ethical dimensions of algorithmic decision-making
  • Background in or genuine commitment to mission-driven organizations; familiarity with food banking, supply chain, or human services a plus
  • Bachelor's degree in Computer Science, Engineering, Data Science, or related field; advanced degree preferred