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Remote Mighty Ai Jobs (NOW HIRING)

Career Renew

Senior ML Engineer

San Francisco, CA · Remote

$180K - $240K/yr

... small but mighty ML team building production-grade AI voice agents used by enterprise customers ... Remote-first with strong perks -- flexible vacation, paid sabbatical after 5 years, comprehensive ...

Career Renew

Senior ML Engineer

Chicago, IL · Remote

$180K - $240K/yr

... small but mighty ML team building production-grade AI voice agents used by enterprise customers ... Remote-first with strong perks -- flexible vacation, paid sabbatical after 5 years, comprehensive ...

Pinterest

Sr. Product Manager, Ads Formats

San Francisco, CA · On-site +1

$149K - $196K/yr

In this role you'll lead (and create!) several ad formats as part of a mighty team at the center of ... Leverage available AI productivity tools to drive high velocity product outcomes What we're looking ...

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 ...

The Health Management Academy

Product Engineer

Arlington, VA · On-site +1

$150K - $160K/yr

We're hiring a product engineer to round out our small but mighty team. We are building a learning ... Is generally excited about accelerating software engineering with AI. How we work * Fully remote ...

OpenSea

Staff iOS Engineer

$180K - $270K/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 ...

OpenSea

Staff Android Engineer

$180K - $270K/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 ...

IVID TEK INC

Senior Chromium Engineer

Sunnyvale, CA · Remote

$105 - $110/hr

US Remote Time zone preference: EST Pay: $105-110/hr on W2 (Only USC/GC) Chromium Engineer is ... Use AI coding tools (Claude Code, Codex) to write and maintain high-quality, efficient code -- our ...

IVID TEK INC

Senior Chromium Engineer

Sunnyvale, CA · Remote

$105 - $110/hr

US Remote Time zone preference: EST Pay: $105-110/hr on W2 (Only USC/GC) Chromium Engineer is ... Use AI coding tools (Claude Code, Codex) to write and maintain high-quality, efficient code -- our ...

OpenSea

Staff Backend Engineer

$190K - $345K/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 ...

WorkWhile

Senior Software Engineer, Frontend

New York, NY · On-site +1

$150K - $200K/yr

Powered by AI, the WorkWhile platform helps businesses quickly access high-quality talent. Workers ... Remote-friendly work culture with office hubs in SF, NY, Seattle & Toronto * In-person company ...

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Remote Mighty Ai information

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$54.5K

$92.4K

$98K

How much do remote mighty ai jobs pay per year?

As of Jun 9, 2026, the average yearly pay for remote mighty ai in the United States is $92,445.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What is a Remote Mighty AI job?

A Remote Mighty AI job typically involves working online to label, annotate, or analyze data used to train artificial intelligence systems, such as self-driving car technology or image recognition software. These positions can include tasks like identifying objects in images, transcribing audio, or categorizing data sets, all from your own location. Most roles do not require advanced technical skills, but attention to detail and reliability are important. Workers usually access assignments through an online platform and are paid per task or project completed.

How does a Remote Data Annotator at Mighty AI typically collaborate with team members and project managers?

As a Remote Data Annotator at Mighty AI, you’ll work closely with project managers and other annotators through digital collaboration tools and regular virtual meetings. Communication is key, as you’ll often clarify guidelines, discuss ambiguous cases, and share feedback to ensure consistent data labeling. Most teams use tools like Slack or internal platforms to stay connected, and there’s a strong emphasis on quality assurance and peer review. This collaborative approach helps maintain high annotation standards and supports ongoing learning, even in a fully remote environment.

What are the key skills and qualifications needed to thrive as an AI Data Annotator (Remote), and why are they important?

To thrive as a remote AI Data Annotator, you need strong attention to detail, critical thinking, and a solid understanding of data labeling or annotation processes, often supported by a high school diploma or relevant experience. Familiarity with annotation platforms, basic computer skills, and sometimes knowledge of specific tools like Labelbox or Supervisely are typically required. Excellent communication, time management, and the ability to follow guidelines precisely are standout soft skills in this role. These skills ensure the accurate preparation of training data, which is crucial for developing effective AI models.

What is the difference between Remote Mighty Ai vs Remote Data Analyst?

AspectRemote Mighty AiRemote Data Analyst
Required CredentialsAI/ML certifications, programming skillsStatistics, data analysis, SQL, Excel
Work EnvironmentRemote, tech-focused teams, AI projectsRemote, diverse industries, data-driven roles
Employer & IndustryAI companies, tech startupsFinance, healthcare, marketing, various sectors

Remote Mighty Ai roles focus on AI and machine learning development, requiring technical certifications and programming skills. Remote Data Analysts analyze data to inform business decisions, emphasizing statistical and analytical skills. Both roles are remote but serve different industry needs and technical expertise.

More about Remote Mighty Ai jobs
What cities are hiring for Remote Mighty Ai jobs? Cities with the most Remote Mighty Ai job openings:
What are the most commonly searched types of Mighty Ai jobs? The most popular types of Mighty Ai jobs are:
What states have the most Remote Mighty Ai jobs? States with the most job openings for Remote Mighty Ai jobs include:
What job categories do people searching Remote Mighty Ai jobs look for? The top searched job categories for Remote Mighty Ai jobs are:
Remote Mighty Ai jobs near you
Infographic showing various Remote Mighty Ai job openings in the United States as of May 2026, with employment types broken down into 89% Full Time, and 11% Part Time. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $92,445 per year, or $44.4 per hour.

Senior ML Engineer

Career Renew

San Francisco, CA • Remote

$180K - $240K/yr

Full-time

Medical, PTO

Posted 6 days ago

Job description

Career Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a fully remote role for US/Canada based candidates. Salary range: 180-240K USD plus benefits plus equity.
Since 2017, we’ve been on a mission to use AI to resolve as many conversations as possible while elevating human agents to do what they are uniquely good at.

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 and Fanatics. You're an applied AI engineer who thrives in startup environments, writes clean Python, and can ship LLM-powered systems that handle real, high-stakes conversations at scale — not just run experiments.


What will you be doing?

  • Leading the exploration and application of Large Language Models and Generative AI, venturing into new areas within these fields

  • Translating the latest research into high-performing systems and models that can be practically applied to enhance user experiences

  • Help set the team's strategic direction, cultivating an environment that encourages innovation and professional growth

  • Actively engaging in all aspects of development, from ideation and experimentation to implementation and deployment

  • Collaborating with various teams and product managers to develop and implement ML based solutions, ensuring performance optimization and alignment with broader business goals

Requirements:
5 - 10 years of experience in applied ML engineering, building production systems in Python with LLMs or NLP (Mandatory)
Experience building production systems in Python (Mandatory)
Familiarity with low-latency production ML systems (Mandatory)
Experience working at a high-growth startup (Mandatory)
Background in NLU, NLP, or conversational AI (Nice-to-have)
BS/MS/PhD in CS, ML, Mathematics, or closely related field with ML coursework (Mandatory)
Why you should join
  • Industry leader in Voice AI for customer service since 2017 — powering enterprise customers like AAA and Fanatics where 50%+ of callers get fully resolved by the bot with higher satisfaction scores than human agents.
  • $113M raised from top-tier investors including Stripes, Salesforce Ventures and Norwest — Series B closed in 2022 at $78M with strong backing from day one.
  • Work on genuinely cutting-edge AI problems — low latency inference, hallucination reduction, prompt injection guardrails and dynamic conversation design at the frontier of what's possible with LLMs today.
  • Small team means real ownership and real impact — every improvement you ship moves the needle for enterprise customers in high-stakes scenarios (think: someone stranded on the road calling AAA).
  • Remote-first with strong perks — flexible vacation, paid sabbatical after 5 years, comprehensive health benefits, wellness stipend and a tech/learning stipend for conferences, books and courses. Competitive salary ($180K–$230K) plus meaningful equity.