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Ai Writing Generalist Jobs (NOW HIRING)

Mercor

Content Analyst

New York, NY · Remote

$100/hr

Position: Generalist Expert Type: Contract Compensation: $100/hour Location: Remote Role ... Ability to work entirely without AI writing tools . * Native English fluency required. Preferred

ProCaps Labs

Senior Copywriter

Broomfield, CO · On-site

$80K - $110K/yr

This is not a generalist content role. The ideal candidate writes with precision and intention ... Proficiency with AI writing tools (e.g., Claude, ChatGPT, Jasper) and the editorial discipline to ...

Applied Control

Marketing Generalist

Englewood, CO · On-site

$65K - $75K/yr

Write, edit, and refine marketing materials including blog posts, email campaigns, sales collateral ... AI-Enabled Marketing Support * Use AI tools (e.g., CoPilot, Jasper, Canva AI, Adobe Firefly) to ...

ProCaps Labs

Senior Copywriter

Henderson, NV · On-site

$80K - $110K/yr

This is not a generalist content role. The ideal candidate writes with precision and intention ... Proficiency with AI writing tools (e.g., Claude, ChatGPT, Jasper) and the editorial discipline to ...

ProCaps Labs

Senior Copywriter

Henderson, NV · On-site

$80K - $110K/yr

This is not a generalist content role. The ideal candidate writes with precision and intention ... Proficiency with AI writing tools (e.g., Claude, ChatGPT, Jasper) and the editorial discipline to ...

Handshake

AI Red Teamer, LLM Generalist

Seattle, WA · On-site

$32 - $95/hr

... AI safety and model robustness for leading research labs. This is a generalist red teaming role ... Clear and thoughtful written communication * Strong ethical judgment and the ability to separate ...

Generalist AI, Inc

Office Manager

San Mateo, CA · On-site

$70K - $130K/yr

Write clear documentation and create repeatable workflows * Prefer execution and speed over over ... AI breakthroughs. Before Generalist, we pioneered large embodied multimodal models and vision ...

Hive

People Operations Generalist

San Francisco, CA · On-site

$75K - $100K/yr

About Hive Hive is the leading provider of cloud-based AI solutions to understand, search, and ... Excellent verbal and written communication skills that demonstrate a high level of professionalism

Hive

People Operations Generalist

San Francisco, CA · On-site

$75K - $100K/yr

About Hive Hive is the leading provider of cloud-based AI solutions to understand, search, and ... Excellent verbal and written communication skills that demonstrate a high level of professionalism

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Ai Writing Generalist information

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$31K

$91.5K

$127.5K

How much do ai writing generalist jobs pay per year?

As of Jun 14, 2026, the average yearly pay for ai writing generalist in the United States is $91,461.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,000.00 and $127,000.00 per year, depending on experience, location, and employer.

How does an AI Writing Generalist typically collaborate with subject matter experts and editorial teams?

AI Writing Generalists often work closely with subject matter experts to ensure the accuracy and depth of the content they generate. They may participate in briefings, conduct interviews, or review source materials provided by experts. Additionally, they collaborate with editorial teams to refine drafts, maintain brand voice, and adhere to style guidelines. This teamwork helps deliver high-quality, well-informed content that meets organizational objectives and resonates with the target audience.

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

To thrive as an AI Writing Generalist, you need strong writing abilities, a solid understanding of AI concepts, and experience with content creation or editing, typically supported by a relevant degree or portfolio. Familiarity with AI-powered writing tools, content management systems, and prompt engineering is highly valuable. Adaptability, creativity, and effective communication are critical soft skills for producing engaging content and responding to evolving project needs. These skills and qualities enable professionals to create high-quality, relevant content that leverages AI technologies efficiently in diverse contexts.

How much does an AI generalist make?

An AI writing generalist typically earns between $50,000 and $100,000 annually, depending on experience, location, and the complexity of projects. Entry-level roles may start lower, while experienced professionals with specialized skills in AI tools and natural language processing can command higher salaries.

What is the difference between Ai Writing Generalist vs Content Writer?

AspectAi Writing GeneralistContent Writer
CredentialsBasic writing skills, familiarity with AI toolsWriting portfolio, sometimes degrees in English or Communications
Work EnvironmentRemote, tech-driven, collaborative with AI toolsRemote or on-site, creative and editorial settings
Industry UsageTech companies, content agencies, marketing teamsMedia, publishing, marketing, corporate communications

The main difference is that an Ai Writing Generalist specializes in creating content using AI tools and adapting to fast-paced, tech-focused environments. In contrast, a Content Writer often focuses on traditional writing, editing, and storytelling. Both roles require strong writing skills, but the Ai Writing Generalist emphasizes AI integration and adaptability to new technologies.

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as AI research directors, chief AI officers, or senior data scientists, often requiring advanced skills, extensive experience, and leadership responsibilities. These positions usually involve overseeing AI strategy, development, and implementation in large organizations and may include bonuses or stock options that contribute to the total compensation. Such roles are rare and highly competitive, often demanding a strong background in machine learning, deep learning, and related tools.

How do I become an AI generalist?

To become an AI writing generalist, develop strong skills in natural language processing, machine learning, and writing. Gain experience with AI tools and platforms, pursue relevant certifications or courses, and build a portfolio of AI-assisted writing projects to demonstrate your expertise.

How much do AI writers make?

AI writers typically earn between $40,000 and $80,000 annually, depending on experience, skill level, and the complexity of projects. Freelance AI writers may charge per word or project, with rates ranging from a few cents to several dollars per word. Salaries can vary based on location, employer, and whether the role is full-time or contract-based.

What is an AI Writing Generalist?

An AI Writing Generalist is a professional who uses artificial intelligence tools and platforms to create, edit, and optimize a wide range of written content. Their work may include drafting articles, marketing copy, technical documentation, emails, and more, often leveraging AI to enhance efficiency and quality. They are skilled in prompt engineering, adapting writing styles, and ensuring content aligns with client or organizational goals. This role requires both strong writing abilities and a good understanding of AI technologies. AI Writing Generalists often collaborate with other writers, editors, and subject matter experts to produce high-quality content.
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Ai Writing Generalist jobs near you
Infographic showing various Ai Writing Generalist job openings in the United States as of June 2026, with employment types broken down into 33% Full Time, and 67% Part Time. Highlights an 67% In-person, and 33% Hybrid job distribution, with an average salary of $91,461 per year, or $44 per hour.

Robot Learning Generalist

Generalist AI, Inc

San Mateo, CA • On-site

$150K - $250K/yr

Full-time

Posted 8 days ago

Job description

About the Role:
This is a deeply cross-functional, execution-oriented role at the center of our robotics stack.
As an Robot Learning Generalist, you will ensure that robots, data, models, and evaluations all come together into a tight, high-velocity feedback loop. You won't sit purely in ML research, robotics controls, hardware, or operations - you will operate horizontally across all of them.
In practice, you will help design tasks, coordinate robot data collection, kick off training jobs, run evaluations, analyze results, and ensure robots are physically ready for rollouts. You may build physical benchmarks, lightly modify hardware setups, test third-party tooling, and write documentation that enables others to replicate and scale your work.
This role is about making the entire system move faster. If something is blocking model progress - whether it's missing data, unclear task definitions, misconfigured hardware, broken eval scripts, or unclear documentation - you fix it, or find the right person to fix it.
You are the connective tissue between research, infrastructure, hardware, and field operations.
You'll be responsible for:
  • Designing new robotic tasks and benchmarks to evaluate model capabilities
  • Procuring materials and building lightweight physical benchmarks (e.g., Montessori task boards, manipulation setups)
  • Coordinating robot data collection efforts across internal operators and partners
  • Ensuring robots are properly configured, calibrated, and ready for rollouts and evaluations
  • Launching model training jobs and tracking experiments across multiple variants
  • Running structured evaluations and measuring real-world success rates
  • Analyzing results and closing feedback loops with ML researchers
  • Beta testing internal and third-party tools for teaching robots new skills
  • Writing clear documentation and playbooks so others can reproduce workflows
  • Identifying operational bottlenecks and improving system throughput end-to-end

You might thrive in this role if you:
  • Have hands-on experience with robot data collection, evaluation, or deployment
  • Have trained or fine-tuned ML models and understand the full lifecycle from data → training → evaluation
  • Are comfortable running experiments and tracking real-world metrics across multiple model variants
  • Enjoy operating across software, hardware, and physical systems
  • Have some exposure to basic EE/ME tasks (wiring, mounting sensors, assembling fixtures, debugging hardware)
  • Are highly organized and can coordinate multiple moving parts simultaneously
  • Write clear, structured documentation
  • Prefer execution and iteration speed over theoretical purity
  • Like being the person who "just makes it work"

What This Role Is Not
You will be a part of the ML team, and working very closely with ML, brainstorming ideas, and may prototype as well. However:
  • This is not a pure ML research role focused on designing new model architectures or advancing core learning algorithms.
  • This is not a large-scale infrastructure engineering role building distributed systems, databases, or UI platforms.
  • This is not a deep robotics controls or firmware engineering role.

Instead, this role sits at the intersection of ML, robotics, and operations - ensuring our systems run end-to-end in the real world, and improving them through tight execution loops.
If you are most excited by hands-on iteration, cross-functional execution, and accelerating the entire system - this role may be a strong fit.
Growth & Impact
This role sits on the front lines of scaling our robot fleet - both for internal R&D and external product deployments. As our robots expand in number, capability, and customer exposure, the complexity and leverage of this role grows with it.
Career growth here is directly tied to the scale and impact of our robots in the real world. The more surface area you can reliably operationalize - across data collection, training loops, evaluation rigor, and deployment readiness - the more influence and ownership you will earn.
If you want to grow alongside a rapidly scaling embodied AI system and shape how robots move from research to widespread deployment and applications, this role offers unusually high leverage.
About Generalist
At Generalist, we are on a mission to make general-purpose robots a reality. We believe the industries and homes of the future will depend on humans and machines working together in new ways. Robots can help us build more and get more done.
We build embodied foundation models, starting with a focus on dexterity. This requires advancing the frontiers of data, models, and hardware, to enable robots to intelligently interact with the physical world.
The company embraces both large-scale AI and robotics as core to its DNA. Our team of researchers, roboticists, and company builders come from OpenAI, Boston Dynamics, Google DeepMind, and other frontier labs-with a track record of shipping AI breakthroughs. Before Generalist, we pioneered large embodied multimodal models and vision-language-action models (PaLM-E, RT-2, Gemini Robotics), launched and scaled ChatGPT and GPT-4 to hundreds of millions of users, engineered the foundations of autonomous driving, built next-generation robots (Atlas, Spot, Stretch) and pushed the limits of what they can do (from parkour to manipulation, and testing robustness).
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

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