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Mighty Ai Jobs (NOW HIRING)

OnMed

AI Operations Lead

White Plains, NY · On-site

$157K/yr

Our path to everywhere has already begun, with our innovative CareStation, a small but mighty ... Who You Are You've built or managed AI agents in a live production environment, not a pilot. You ...

Flip

Head of Security & AI Governance

Los Angeles, CA · On-site

Head of Security & AI Governance REPORTING TO: CTO LOCATION: Marina del Rey, CA (Onsite Monday ... We're a small and mighty team of 50 today with offices in NYC, LA, and the UK. The Role At Flip ...

Eightfold.ai

Procurement Analyst

Chicago, IL · On-site +1

Eightfold is a global leader in an AI-native enterprise talent platform , trusted by the world ... We are looking for a stellar Procurement Analyst to join our small, but mighty team. This person ...

Career Renew

Senior ML Engineer

San Francisco, CA · Remote

$180K - $240K/yr

We are looking for a Senior Machine Learning Engineer with 5+ years of experience to join our small but mighty ML team building production-grade AI voice agents used by enterprise customers like AAA ...

Career Renew

Senior ML Engineer

Chicago, IL · Remote

$180K - $240K/yr

We are looking for a Senior Machine Learning Engineer with 5+ years of experience to join our small but mighty ML team building production-grade AI voice agents used by enterprise customers like AAA ...

Spellbrush

3D Game Programmer (Unity)

San Francisco, CA · Remote

You'll work directly with some of the best AI researchers and engineers in the world in a small, mighty, and fast-paced team. Culture: We are seeking individuals who ideally are fans of anime and the ...

Instacart

Director of Product, Agentic Commerce

OR · Remote

$232K - $243K/yr

Our portfolio includes Cart Assistant-Instacart's AI shopping agent helping people plan what to eat ... small but mighty PM team and a cross-functional group of approximately 25 builders across the ...

Spellbrush

3D Game Programmer (Unity)

San Francisco, CA · On-site

You'll work directly with some of the best AI researchers and engineers in the world in a small, mighty, and fast-paced team. Culture: We are seeking individuals who ideally are fans of anime and the ...

Dealops

Founding Account Executive

San Francisco, CA · On-site

... but mighty team across GTM and engineering to ensure we win deals and onboard properly. What makes you a fit * 3-5 years of experience in a quota-carrying AE role at a fast-growing B2B SaaS or AI ...

Juno Inc

Customer Success Manager

San Diego, CA · On-site

This is a foundational role (we are a small but mighty team) where you will execute scalable ... Knowledge of advanced CS tools and AI (HubSpot, Gainsight, Vitally, OpenAI, etc.) and automation ...

New

OpenSea

Staff Product Designer

$175K - $275K/yr

Our team is small but mighty: hands-on, fast-moving, and deeply committed to shipping meaningful work. We're remote-first by design, AI-empowered by default, and guided by values that prioritize ...

Town.com, Inc

Product Manager

San Francisco, CA · On-site

$200K - $300K/yr

About Town Town is an AI-powered assistant that connects to your tools to do real work on your ... mighty product team. You'll partner closely with our existing PM and report directly into our co ...

Magic Patterns

Product Engineer

San Francisco, CA · On-site

If you like startups, AI, and fun, fast-paced environments: we can't wait to work with you. How we work: We believe in purposeful hiring and hiring only A-players. We are a small and mighty team with ...

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Mighty Ai information

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How much do mighty ai jobs pay per year?

As of Aug 11, 2026, the average yearly pay for mighty ai in the United States is $93,955.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,000.00 and $143,500.00 per year, depending on experience, location, and employer.

What does a typical day look like for a data annotator at Mighty AI?

As a Data Annotator at Mighty AI, your day usually involves reviewing and labeling large volumes of images, text, or other data types to help train AI models. You might work independently or as part of a collaborative team, regularly communicating to ensure annotation consistency and resolving any ambiguous edge cases. Quality checks and feedback sessions are common to maintain accuracy, and there may be opportunities to learn new annotation tools or contribute ideas for workflow improvements. This role offers both repetitive and challenging tasks that require focus and a commitment to high standards, making it ideal for detail-oriented professionals.

What is a Mighty AI?

A Mighty Ai job typically involves data labeling and annotation tasks to help train artificial intelligence models. Workers analyze images, videos, or text and provide structured data that improves machine learning algorithms. These tasks are often part of crowdsourced or remote work opportunities, allowing individuals to contribute to AI development while earning money.

What are the key skills and qualifications needed to thrive in the Mighty AI position, and why are they important?

To thrive at Mighty AI, candidates generally need strong data annotation, quality assurance, and analytical skills, along with experience in tasks such as image labeling or text annotation. Familiarity with data labeling platforms, collaborative project management tools, and potentially basic knowledge of machine learning concepts are beneficial. Attention to detail, consistency, and the ability to work efficiently in a team-oriented environment are vital soft skills. These competencies are essential for producing reliable datasets that support the development of high-quality artificial intelligence systems.

More about Mighty Ai jobs
What cities are hiring for Mighty Ai jobs? Cities with the most Mighty Ai job openings:
What are the most commonly searched types of Mighty Ai jobs? The most popular types of Mighty Ai jobs are:
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Mighty Ai jobs near you
Infographic showing various Mighty Ai job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 67% Physical, 4% Hybrid, and 29% Remote job distribution, with an average salary of $93,955 per year, or $45.2 per hour.

AI Operations Lead

OnMed

White Plains, NY • On-site

$157K/yr

Full-time

PTO

Posted 6 days ago

Job description

Who We Are and Why Join Us
At OnMed our purpose is simple but powerful...to improve the quality of life and sense of well-being in our communities by bringing access to healthcare to everyone, everywhere. Our path to everywhere has already begun, with our innovative CareStation, a small but mighty, Clinic-in-a-Box, bringing #healthcareaccess anywhere with an outlet to plug it in. Poised to become a key component in America's public health infrastructure, the OnMed CareStation is the only tech-enabled, AI-powered, human-delivered, hybrid care solution that combines the comprehensive experience, trust and outcomes of a clinic, with the rapid scalability of virtual care.
At OnMed, every role, everyday, is directly impacting the communities we serve. You'll join a high-performing purpose-driven team, innovating to break down the barriers that keep people from the care they need.
This is not just a job...it's a movement to bring access to healthcare where and when people need it most. It's healthcare that shows up.
Who You Are
You've built or managed AI agents in a live production environment, not a pilot. You know how to find the repetitive, manual work hiding inside a team's day-to-day and turn it into a tested, reliable workflow - writing the prompts, running the pilots, and training the people who'll use it, without introducing security risk. You understand enterprise operations broadly, even where you're not the subject-matter expert. You think in systems: a two-tier agent architecture is the obvious answer to you, not a complex one. You continuously find unnecessary complexity, and you proactively look for a simple solution. You can explain what an agent is doing, and why, to someone who has never touched a prompt.
The Role
OnMed runs on people, process, tech, and agents. Half of our business operations will run on AI agents. This role owns that half and builds the next: a two-tier agent fleet that executes and supervises business operations, with no finish line. The fleet grows every quarter. So does this job.
Tier 1 - Execution Agents
Build and maintain the AI agents that automate OnMed's business operations functions: finance, growth, legal, people ops, and beyond. Each agent replaces a repeatable, well-defined workflow, measured on output quality, not activity.
Tier 2 - Supervisory Agents & Reporting
Design and deploy a supervisory layer that monitors Tier 1 output, catches drift and errors before they reach a person or a client, and escalates what it can't resolve. This tier is OnMed's control tower. It also produces the record: clean reports and an intuitive dashboard showing, at a glance, whether the fleet is in control, operating as expected, and driving the optimization we've committed to. If it isn't on the dashboard, it isn't being managed.
Tech You'll Work With
Agent orchestration frameworks, LLM APIs (OpenAI, Anthropic, or similar), vector databases, and observability/eval tooling for monitoring agent performance in production.
Key Responsibilities
  • Build: Design, deploy, and integrate business operations agents across OnMed's functional areas, with the leaders who own each process.
  • Manage: Own uptime, accuracy, and performance across the full fleet. Set the standard for "correct" in each function and hold every agent to it.
  • Evangelize: Make the case, inside OnMed and out, for what agent-driven operations make possible. Bring functional leaders into the build, not around them and teach and upskill non-technical staff on the new tools and workflows you create.
  • Optimize: Treat every agent as a draft. Refine prompts, workflows, and escalation rules weekly, based on the supervisory tier surfaces.
  • Simplify: Simplify the process before you automate it. Never automate complexity that shouldn't exist.
  • Reduce cost: Track and report cost-per-function before and after automation. Cost reduction is a stated outcome, not a side effect.
  • Report: Own the dashboard and reporting layer that makes fleet performance visible to leadership on a regular cadence, not on request.
  • Partner: Work with Engineering to ensure infrastructure is ready, and partner with the team on knowledge management and optimization opportunities.

Reporting Structure
This role reports directly to the Chief Operating Officer, with a dotted-line reporting relationship to the Chief Technology Officer, and works cross-functionally with every OnMed function running an automated process. The AI Operations Lead owns the review of the supervisory reports and dashboard end to end, including ongoing reviews with the COO and the CEO.
Requirements
Knowledge, Skills and Abilities
  • Hands-on experience designing and building AI agents in a live production environment - not just configuring or maintaining existing tools.
  • Working knowledge of enterprise operations across finance, legal, people ops, and growth.
  • Systems thinking, applied to multi-tier automation and escalation design.
  • Ability to translate technical agent behavior into plain language for non-technical stakeholders.
  • Ability to teach and upskill non-technical staff on new AI tools and workflows, translating technical capability into practical, everyday use.

Education and Experience
  • Bachelor's degree in a related field (business, computer science, engineering, or operations).
  • 5+ years in business operations, technical operations, or a builder-type role, including direct, hands-on experience designing, deploying, or managing AI agents/automation in a live production environment.
  • Experience working cross-functionally across at least two business functions: finance, legal, people ops, or growth - enough to understand how those functions operate, even without deep domain expertise.
  • Track record owning a system or process end-to-end, including uptime, accuracy and/or performance metrics - not just recommending changes but being accountable for outcomes.

Benefits
OnMed provides a competitive salary and benefits package, including unlimited PTO and paid holidays.
The base salary for this role is up to $170,000 commensurate with the candidate's experience; plus discretionary annual bonus.
OnMed is a proud equal opportunity employer. All qualified applicants will be considered without regard to race, color, creed, religion, gender, sexual orientation, national origin, genetic information, disability, age, marital status, veteran status, or any other category protected by law.
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