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Ai Prompt Creator Jobs in Boston, MA (NOW HIRING)

Senior AI Automation Engineer

Boston, MA · On-site +1

$113K - $148K/yr

By combining real creator relationships, trusted intelligence, and expert guidance, Later removes ... Wire together LLMs, agents, RAG patterns, and prompt design with existing systems to deliver real ...

... creator marketing across multiple industry categories * Experience in creative ideas for paid ... Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration ...

Ai Prompt Creator information

See Boston, MA salary details

$13

$39

$68

How much do ai prompt creator jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for ai prompt creator in Boston, MA is $39.85, according to ZipRecruiter salary data. Most workers in this role earn between $20.91 and $56.15 per hour, depending on experience, location, and employer.

What is an AI prompt creator?

An AI Prompt Creator is a professional who designs and formulates effective prompts or instructions for artificial intelligence models, such as chatbots or language models, to generate accurate and relevant responses. Their work involves understanding how AI interprets language, experimenting with different phrasings, and optimizing prompts for specific tasks or industries. AI Prompt Creators help businesses and organizations use AI more effectively by ensuring the output aligns with their needs and goals. They may also analyze results and iterate on their prompts to improve performance over time.

What are some common challenges faced by AI prompt creators when collaborating with AI model developers?

AI Prompt Creators often encounter challenges such as aligning prompt designs with the technical constraints and capabilities of different AI models. Effective collaboration requires clear communication with model developers to ensure prompts elicit accurate, unbiased, and relevant responses. Additionally, balancing creativity with consistency and testing prompts across various scenarios can be demanding. Staying up-to-date with model updates and feedback loops is essential for continuous improvement and maintaining prompt quality.

What is the difference between Ai Prompt Creator vs Ai Content Writer?

AspectAi Prompt CreatorAi Content Writer
Required SkillsCreativity, understanding of AI models, prompt engineeringWriting, editing, SEO knowledge, content strategy
Work EnvironmentCollaborative with AI developers, tech-focusedContent teams, marketing departments
Industry UsageAI development, tech startups, creative agenciesMedia, marketing, publishing

While both roles involve working with AI, the Ai Prompt Creator focuses on designing prompts to generate desired outputs, whereas the Ai Content Writer creates written content based on AI-generated ideas or prompts. The roles overlap in understanding AI tools, but their primary functions differ in purpose and output.

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

To thrive as an AI Prompt Creator, you need a solid understanding of language models, creative writing, and a familiarity with AI systems, often supported by experience in linguistics or related fields. Proficiency with AI platforms (such as OpenAI GPT or similar), prompt engineering tools, and sometimes basic coding skills are typically required. Strong communication, problem-solving abilities, and adaptability help you craft effective prompts and iterate based on feedback. These skills are crucial for generating high-quality AI outputs, ensuring usability, and optimizing model performance for diverse applications.

What are popular job titles related to Ai Prompt Creator jobs in Boston, MA?

For Ai Prompt Creator jobs in Boston, MA, the most frequently searched job titles are:

What cities near Boston, MA are hiring for Ai Prompt Creator jobs?

Cities near Boston, MA with the most Ai Prompt Creator job openings:

Infographic showing various Ai Prompt Creator job openings in Boston, MA as of July 2026, with employment types broken down into 73% Full Time, 24% Part Time, and 3% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $82,886 per year, or $39.8 per hour.

Senior AI Automation Engineer

Later

Boston, MA • On-site, Remote

$113K - $148K/yr

Full-time

Re-posted 18 days ago


Job description

Later is the world's most intelligent influencer marketing company, built to give brands the confidence to create unforgettable campaigns. By combining real creator relationships, trusted intelligence, and expert guidance, Later removes fear and guesswork from one of marketing's most visible investments.
Built on a native, AI-powered platform and more than a decade of proprietary data-including billions of social interactions, impressions, and $2.4B+ in verified influencer-driven purchases-Later helps teams understand what will work before they launch.
By combining trusted insight with expert guidance, Later removes guesswork from influencer marketing, enabling brands to choose the right creators, execute fully managed campaigns, and drive meaningful growth across awareness, engagement, and revenue. Trusted by leading enterprise brands including Nike, Wayfair, Unilever, and Southwest Airlines, Later bridges creativity and performance so campaigns don't just look good-they deliver results. Learn more at later.com.
About this position:
We're hiring an AI Automation Engineer to embed across teams at Later, Operations, Finance, Marketing, Customer Success, and beyond, and replace manual, repetitive work with durable AI-powered tooling.
This role sits at the intersection of engineer, internal consultant, and coach: you'll build the automations that move the needle today and level up non-technical colleagues to build the next wave themselves. This is a high-leverage role for someone who gets energy from solving real business problems, ships pragmatic v1s in days rather than months, and knows when a scrappy prototype needs to be hardened into something the whole org can rely on. You'll work across Later's lines of business (Later Influence, Later Social, and Mavely), with regular exposure to senior leadership and broad visibility into how the company actually runs.
What you'll be doing:
Partnership & Discovery
  • Embed with non-technical stakeholders across Operations, Finance, Marketing, Customer Success, and other functions to understand their workflows in depth.
  • Surface the highest-impact automation opportunities and translate fuzzy, ambiguous problems into clear technical solutions.
  • Leave every stakeholder conversation with a sharper problem definition than you walked in with.
Building & Shipping
  • Build automations and internal tools using AI-native platforms, scripting, APIs, and whatever else gets the job done, pragmatism over purity.
  • Ship working v1s quickly so stakeholders can validate value before investment scales.
  • Wire together LLMs, agents, RAG patterns, and prompt design with existing systems to deliver real workflow outcomes.
Scaling & Reliability
  • Take working prototypes and harden them with the reliability, observability, error handling, and reusability needed for production use.
  • Define when a one-off solution is good enough as-is versus when it needs to be promoted into something the whole org can rely on.
  • Build the monitoring and documentation that lets automations run unattended and recover gracefully when they don't.
Enablement & Coaching
  • Coach and advise non-technical colleagues who are building their own automations: review their work, unblock them, and level up their skills over time.
  • Run lightweight enablement (working sessions, office hours, shared documentation) that grows the citizen-developer community at Later.
  • Communicate technical tradeoffs clearly to non-technical audiences and teach others to fish.
Platform Thinking
  • Identify patterns across teams and build shared components, templates, and frameworks that compound the org's automation leverage over time.
  • Create reusable building blocks (prompt libraries, integration patterns, automation templates) that turn individual wins into org-wide capability.
  • Partner with Engineering and IT on the platform decisions that make this leverage durable.
What success looks like:
  • Within your first 6-12 months, success in this role will look like:
  • A portfolio of automations in production with documented business impact (hours saved, error rates reduced, cycle times shortened) across at least three different teams.
  • A measurable lift in the number of non-technical colleagues confidently building their own automations, supported by templates, documentation, and coaching you've put in place.
  • A reusable library of components, patterns, and templates that other builders, technical and non-technical, can pick up and apply.
  • Recognition as the go-to partner across Operations, Finance, Marketing, and Customer Success for 'can this be automated?' and 'is this worth automating?' questions.
  • A clear point of view on Later's automation roadmap: what the next high-leverage opportunities are, and where the platform investments need to land.
What you bring:
We are committed to building an inclusive, supportive place for you to do the best and most rewarding work of your career. If you identify with any of the following, we encourage you to apply!
  • A track record of building and shipping automations, internal tools, or AI-powered workflows that delivered measurable business impact.
  • Strong fluency with modern AI tooling (LLMs, agents, RAG, prompt design) and comfort wiring together APIs, scripts, and no-code/low-code platforms.
  • A business-first mindset: you start with the problem and the user, not the technology, and can sharpen a non-technical partner's problem definition through the right questions.
  • Resourcefulness and a bias to action: you ship a working v1 in days, not months, and iterate from there.
  • An instinct for scale, knowing when something is good enough as a one-off versus when it needs to be built to serve the whole org.
  • Strong written and verbal communication skills, with the ability to explain technical tradeoffs to non-technical audiences and coach others to build their own solutions.
  • Experience in an internal-tools, RevOps, BizOps, or 'applied AI' function is a plus.
  • A background in supporting or training non-technical builders (citizen developers, ops teams running their own tooling) is a bonus.
  • Comfort with data: pulling it, cleaning it, and reasoning about it.
How you work:
  • Driven by Impact: You deliver results that matter-prioritizing high-value work, meeting deadlines, and adapting quickly while keeping outcomes clear.
  • Strategic & Customer-Centric: You anticipate risks and opportunities, connect decisions to long-term growth, and build trust through proactive insights.
  • Curious & Growth-Oriented: You seek knowledge, ask sharp questions, and apply learnings fast-challenging the status quo with a mindset of improvement.
  • Collaborative & Resilient: You thrive in change by staying resourceful, solution-focused, and positive-removing roadblocks, sharing insights, and keeping morale high.
  • Accountable & Honest: You own your work, hold yourself and others to a high bar, and use transparent feedback to drive growth.
  • Emotionally Intelligent: You build trust through empathy and collaboration, foster inclusion, and inspire others with grit, optimism, and integrity.
Our approach to compensation:
We take a market-based & data-driven approach to compensation. We leverage data from trusted third-party compensation sources to help us understand the market value of a role based on function, level, geographic location, and scope. We evaluate compensation bi-annually, including performance and market-related factors.
Our salaries are benchmarked against market Total Cash Compensation for the geographic location of our job posting. Compensation for some roles is structured as On Target Earnings (OTE = base + commission/variable) while for others it is structured as Salary only. The salary range listed for this role reflects the zones that applies to the location of this posting.
To comply with local legislation and ensure transparency, we share salary ranges on all job postings. Skills, experience and other factors help determine the final salary we offer which may vary from the original range posted.
Additionally, all permanent team members are eligible to participate in various benefits plans as part of their overall compensation package.
$110,000-160,000 CAD
#LI-Hybrid
Where we work:
We have offices in Boston, MA; Vancouver, BC; and Vancouver, WA. For select positions, we are open to hiring fully remote candidates. We post our positions in the location(s) where we are open to having the successful candidate be located.
Diversity, inclusion, and accessibility:
At Later, we are committed to fostering a culture rooted in an inclusion-first mindset at every level of the company, embracing the importance of hiring and building teams for culture add rather than culture fit. We openly build and maintain unbiased hiring, pay, and promotion practices to create a foundation for an equitable workplace, paving the way for systemic change.
We are committed to creating a diverse environment and are proud to be an equal opportunity employer. All applications will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, national origin, disability, or age. Please let us know if you require any accommodations or support during the recruitment process.