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Ai Optimization Jobs (NOW HIRING)

Account Setup & Optimization- Configure and optimize customer accounts to ensure the best foundation for AI performance. Interpret key data to improve setup and support ongoing AI optimization. LLM ...

Account Setup & Optimization- Configure and optimize customer accounts to ensure the best foundation for AI performance. Interpret key data to improve setup and support ongoing AI optimization. LLM ...

SEO Manager

Atlanta, GA ยท On-site

The SEO Manager will lead our search engine and AI search optimization strategy and execution. This individual will directly oversee a team of SEO content resources, collaborate closely with our web ...

The SEO Manager will lead our search engine and AI search optimization strategy and execution. This individual will directly oversee a team of SEO content resources, collaborate closely with our web ...

Collaborate closely with SEO, editorial, and product teams to align content execution with evolving search algorithms, AI-driven search behavior, and business goals. * Analyze SEO best practices ...

SEO Content Analyst

Cambridge, MA ยท On-site +1

$70K - $80K/yr

Collaborate closely with SEO, editorial, and product teams to align content execution with evolving search algorithms, AI-driven search behavior, and business goals. * Analyze SEO best practices ...

This isn't a role where AI and optimization live in separate silos. Candidates are expected to reason across both. Strong software engineering fundamentals are the foundation. Beyond that, candidates ...

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Ai Optimization information

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$40

$59

$81

How much do ai optimization jobs pay per hour?

As of Jun 5, 2026, the average hourly pay for ai optimization in the United States is $59.65, according to ZipRecruiter salary data. Most workers in this role earn between $43.27 and $73.56 per hour, depending on experience, location, and employer.

What is AI optimization?

AI optimization refers to the process of improving artificial intelligence models, algorithms, or systems to achieve better performance, accuracy, or efficiency. This can involve tuning hyperparameters, selecting optimal architectures, or using advanced mathematical techniques to minimize errors and resource consumption. AI optimization is crucial in making AI applications more effective and scalable across various industries, from healthcare to finance. By optimizing AI systems, organizations can ensure faster and more reliable outcomes while reducing computational costs.

What are the key skills and qualifications needed to thrive as an AI Optimization Specialist, and why are they important?

To thrive as an AI Optimization Specialist, you need a strong background in computer science, mathematics, and machine learning, often supported by a degree in a related field. Proficiency with programming languages like Python, optimization frameworks (such as TensorFlow or PyTorch), and knowledge of cloud platforms are typically required, along with relevant certifications. Analytical thinking, problem-solving, and effective communication are essential soft skills for translating complex data into actionable solutions. These skills ensure the development of efficient, scalable AI models that drive business value and innovation.

What is the difference between Ai Optimization vs Data Scientist?

AspectAi OptimizationData Scientist
Required CredentialsDegree in Computer Science, Data Science, or related fields; knowledge of AI/ML frameworksDegree in Statistics, Computer Science, or related fields; proficiency in programming and statistical analysis
Work EnvironmentTech companies, AI-focused teams, R&D departmentsResearch institutions, tech firms, finance, healthcare
Employer & Industry UsagePrimarily in AI development, machine learning optimization projectsData analysis, predictive modeling, data-driven decision making

Ai Optimization specialists focus on enhancing AI models' performance and efficiency, often working on machine learning algorithms and deployment. Data Scientists analyze large datasets to extract insights, build predictive models, and support decision-making. While both roles require strong technical skills and knowledge of data and algorithms, Ai Optimization is more specialized in refining AI systems, whereas Data Scientists have a broader scope in data analysis and interpretation.

What are some common challenges faced by professionals in AI Optimization roles, and how can they be overcome?

Professionals in AI Optimization often encounter challenges such as balancing model accuracy with computational efficiency, handling large and complex datasets, and staying updated with rapidly evolving algorithms. To overcome these, it's important to collaborate closely with data engineers and domain experts, utilize scalable computing resources, and continuously invest in learning new optimization techniques. Participating in knowledge-sharing forums and leveraging open-source tools can also help address these challenges effectively.
More about Ai Optimization jobs
What cities are hiring for Ai Optimization jobs? Cities with the most Ai Optimization job openings:
What states have the most Ai Optimization jobs? States with the most job openings for Ai Optimization jobs include:
Infographic showing various Ai Optimization job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $124,067 per year, or $59.6 per hour.

Customer AI Analyst, EMEA

Bluefish AI

Richmond, VA โ€ข Remote

Full-time

Posted 3 days ago


Job description

Bluefish is on the cutting edge of AI-powered SaaS, helping marketers understand AI marketing performance and optimization. Were looking for a sharp, customer-savvy Customer AI Analyst who's passionate about data, skilled in prompt engineering, and fluent in helping clients get real results from AI tools. As a Customer AI Analyst, you'll work closely with customers to ensure their accounts are configured for success from the startโ€”optimizing for the best possible AI outcomes. Your focus will be on turning data into insights, engineering effective prompts for large language models (LLMs), and collaborating directly with clients on regular deliverables. Think of this role as a blend of SEO analyst, AI prompt engineer, and strategic customer advisor.
What You'll Be Doing:
Account Setup & Optimization- Configure and optimize customer accounts to ensure the best foundation for AI performance. Interpret key data to improve setup and support ongoing AI optimization.
LLM Prompt Optimization-Design, test, and refine prompts to get high-quality outputs from large language modelsโ€”ensuring results align with customer goals and industry standards.
Customer Engagement & Strategy-Serve as the primary service advisor for your customers. Deliver actionable insights, performance reviews, and monthly deliverables (e.g., reports, strategy briefs, optimization plans).
Insights & Storytelling-Turn complex data into clear, strategic recommendations using presentations, dashboards, and written narratives tailored to different stakeholders (including executives).
Cross-functional Collaboration-Partner with product and account teams to feed customer insights into roadmap planning and improve overall service delivery.
Customer Education-Contribute to enablement initiatives by creating data-driven best practices, case studies, and onboarding resources.
Trend Monitoring-Stay up-to-date on AI, marketing analytics, and AEO/GEO trends to keep customers informed and ensure Bluefish remains ahead of the curve.
Qualifications:
2+ years of relevant experience in a customer-facing, data-focused role (e.g., technical account management, consulting, or analyst work) or demonstrable analytical experience within a SaaS company.
Experience in data analysis and optimization, ideally within a SaaS or AI-focused environment.
Strong ability to translate complex data into meaningful strategies and recommendations.
Familiarity with prompt engineering and large language model (LLM) behavior is a major plus.
Experience working with analytics tools (e.g., Excel, SQL, BI dashboards).
Excellent communication and presentation skillsโ€”confident working with both technical and executive stakeholders.
Strong organizational skills with a proven ability to juggle multiple clients and deadlines.
Bachelor's degree in a technical, business, or finance-related field preferredโ€”can substitute for customer-facing experience.
Highly organized with the ability to manage multiple accounts and competing priorities.
Demonstrated grit and resourcefulnessโ€”you find creative solutions, adapt quickly, and aren't afraid to roll up your sleeves in a fast-paced, evolving environment.
Thoughtful and strategic thinker with the ability to anticipate needs, ask the right questions, and deliver insights that truly drive value.
Proven ability to collaborate across functions and roles, fostering open communication and shared ownership of outcomes.
Commitment to craftsmanshipโ€”you take pride in delivering high-quality work, paying attention to the small details while keeping the big picture in mind.
Self-starter with a proactive mindset and a strong sense of accountabilityโ€”able to drive projects forward independently while staying aligned with team goals.
Comfortable navigating ambiguity and learning new tools, processes, or technologies to get the job done.
Native French-language (preferred) and native English-language skills
Nice to Haves:
Background in SEO (e.g., keyword strategy, performance analysis, organic growth).
Experience in digital marketing or campaign performance analysis.
Prior roles in SEO analysis, marketing operations, or conversion optimization.
About Bluefish:
Bluefish believes that AI represents the next major chapter of the internet โ€“ and that consumers will increasingly use AI to consume information and media online. On this new AI internet, brands will need new tools and technologies to tell their stories to consumers online โ€“ and a new marketing ecosystem will be created around AI. Bluefish is building the platform that helps brands engage consumers on this new AI channel, with powerful enterprise tools to manage AI brand safety and engage consumers with thoughtful and personalized AI marketing experiences.
The Bluefish team is a tight-knit group of mar-tech industry veterans who previously helped build foundational ad-tech platforms now owned by Meta and Microsoft. Bluefish, the leading AI marketing platform for the Fortune 500, recently announced a $20M Series A funding round led by NEA, with participation from Salesforce Ventures. Additional investors include Crane Venture Partners, Swift Ventures, and Bloomberg Beta. We are a globally distributed team, with business operations based in New York City and engineering based in Berlin.
Why Bluefish & Our Values:
Unique opportunity to join on the ground floor of a fast-moving startup building at the center of AI
Tackle challenging and abstract problems while disrupting the $300BN legacy mar-tech industry
Join an experienced high-performing team where you will have immediate ownership and impact
Experience a true meritocracy with significant career growth upside as the business scales
Our Values:
Demonstrated grit and resourcefulnessโ€”you find creative solutions, adapt quickly, and aren't afraid to roll up your sleeves in a fast-paced, evolving environment.
Thoughtful and strategic thinker with the ability to anticipate needs, ask the right questions, and deliver insights that truly drive value.
Proven ability to collaborate across functions and roles, fostering open communication and shared ownership of outcomes.
Commitment to craftsmanshipโ€”you take pride in delivering high-quality work, paying attention to the small details while keeping the big picture in mind.
Self-starter with a proactive mindset and a strong sense of accountabilityโ€”able to drive projects forward independently while staying aligned with team goals.
Comfortable navigating ambiguity and learning new tools, processes, or technologies to get the job done.
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