ZipRecruiter

Log In

2

Remote Ai Safety Jobs (NOW HIRING)

Harris

... safety, and healthcare software verticals. Our success has been realized through investments in our ... remote

Harris

... safety, and healthcare software verticals. Our success has been realized through investments in our ... remote

Harris

... safety, and healthcare software verticals. Our success has been realized through investments in our ... remote

Harris

... safety, and healthcare software verticals. Our success has been realized through investments in our ... remote

Harris

... safety, and healthcare software verticals. Our success has been realized through investments in our ... remote

Harris

... safety, and healthcare software verticals. Our success has been realized through investments in our ... remote

Harris

... safety, and healthcare software verticals. Our success has been realized through investments in our ... remote

Harris

... safety, and healthcare software verticals. Our success has been realized through investments in our ... remote

Harris

... safety, and healthcare software verticals. Our success has been realized through investments in our ... remote

Harris

... safety, and healthcare software verticals. Our success has been realized through investments in our ... remote

Harris

... safety, and healthcare software verticals. Our success has been realized through investments in our ... remote

next page

Showing results 1-20

All JobsRemote Ai Safety Jobs

Remote Ai Safety information

See salary details

$10

$32

$58

How much do remote ai safety jobs pay per hour?

As of Jun 14, 2026, the average hourly pay for remote ai safety in the United States is $32.38, according to ZipRecruiter salary data. Most workers in this role earn between $25.48 and $39.18 per hour, depending on experience, location, and employer.

What is the meaning of remote in one word?

In the context of a remote AI safety job, 'remote' means working from a location outside the company's physical office, often from home or any other location. It emphasizes flexibility in work environment and typically requires strong communication skills and self-discipline.

What is the difference between Remote Ai Safety vs Remote Ai Ethics Specialist?

AspectRemote Ai SafetyRemote Ai Ethics Specialist
Required CredentialsAI safety certifications, technical background in machine learningEthics certifications, background in philosophy or social sciences
Work EnvironmentResearch labs, tech companies, remote teams focused on AI safetyPolicy organizations, tech firms, remote roles emphasizing ethical AI use
Industry UsagePrimarily in AI safety research and developmentIn AI policy, ethics compliance, and responsible AI deployment

Remote Ai Safety focuses on developing and implementing safety measures for AI systems, often requiring technical expertise. Remote Ai Ethics Specialist emphasizes ethical considerations, policies, and societal impacts of AI. Both roles collaborate but differ mainly in their focus—technical safety versus ethical governance.

What is the meaning of the word remote?

In the context of a remote AI safety job, 'remote' means working outside a traditional office environment, often from home or any location with internet access. It allows employees to perform their duties without being physically present at a specific workplace, often requiring strong communication skills and familiarity with digital collaboration tools.

What are some common challenges faced by professionals working in remote AI Safety roles, and how can they be addressed?

Professionals in remote AI Safety roles often encounter challenges such as collaborating across time zones, staying updated on rapidly evolving AI risks, and communicating complex safety concepts to non-technical stakeholders. To address these issues, it's helpful to establish clear communication protocols, participate in regular virtual meetings, and leverage collaborative tools like shared documentation and chat platforms. Additionally, staying engaged in online AI safety communities and continuous learning are key practices for remaining effective and informed in this dynamic field.

How to make 2000 a week working from home?

Remote AI safety roles can offer high earning potential, especially with specialized skills in machine learning, data analysis, and safety protocols. To earn $2000 weekly, professionals often need to work multiple projects, freelance, or hold senior positions that pay competitive rates, typically requiring experience, certifications, and strong technical expertise.

What are the key skills and qualifications needed to thrive as a Remote AI Safety Specialist, and why are they important?

To thrive as a Remote AI Safety Specialist, you need a strong background in machine learning, computer science, and ethics, often supported by an advanced degree in a related field. Familiarity with tools like Python, TensorFlow or PyTorch, and experience with safety analysis frameworks or relevant certifications are highly valued. Excellent problem-solving, critical thinking, and clear written communication skills are crucial for collaborating remotely and addressing complex safety concerns. These abilities ensure the development and deployment of reliable, ethical AI systems that minimize risk and comply with industry standards.

What is a Remote AI Safety job?

A Remote AI Safety job involves working from a location outside of a traditional office to research, develop, and implement strategies that ensure artificial intelligence systems operate safely and ethically. Professionals in this field focus on minimizing risks associated with AI technologies, such as unintended behavior, bias, or misuse. Tasks may include developing safety protocols, conducting risk assessments, and collaborating with multidisciplinary teams to create robust and reliable AI systems. Remote AI Safety roles are found in academia, industry, and non-profit organizations, allowing experts to contribute globally to the safe advancement of AI.

What is remote job?

A remote job allows employees to work outside of a traditional office environment, often from home or any location with internet access. For roles like remote AI safety, this typically involves using online collaboration tools, maintaining regular communication, and meeting project deadlines without being physically present in an office.
More about Remote Ai Safety jobs
What cities are hiring for Remote Ai Safety jobs? Cities with the most Remote Ai Safety job openings:
What are the most commonly searched types of Ai Safety jobs? The most popular types of Ai Safety jobs are:
What states have the most Remote Ai Safety jobs? States with the most job openings for Remote Ai Safety jobs include:
What job categories do people searching Remote Ai Safety jobs look for? The top searched job categories for Remote Ai Safety jobs are:
Remote Ai Safety jobs near you
Infographic showing various Remote Ai Safety job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 79% Full Time, 19% Part Time, and 1% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $67,344 per year, or $32.4 per hour.

Red Teaming | Generative AI Analyst - USA (Remote)

Welo Global

Remote

$33.16/hr

Full-time

Posted 20 days ago

Job description

About the Role
We are hiring Red Teaming | Generative AI Analyst to support generative AI safety evaluation. In this role, you will interact with AI models, create and evaluate prompts, and identify where model responses fail against defined safety expectations.
Project Details
  • Job Title: Red Teaming | Generative AI Analyst
  • Location: Remote, USA
  • Hours: 40 hours per week
  • Employment Type: W2 Full-Time Employee
  • Pay Rate: $33.16/hour

What You'll Do
  • Interact with generative AI models using project-provided guidelines, safety taxonomies, and attack-vector guidance.
  • Create and evaluate prompts designed to test model behavior across safety-related categories.
  • Identify where model responses become unsafe, noncompliant, inconsistent, or otherwise problematic.
  • Document model breakability, effort level, point of failure, and relevant category alignment.
  • Review text, image, audio, video, or other multimodal content as required by the workflow.
  • Apply detailed guidelines consistently across short, high-volume production sprints.
  • Use sound judgment to evaluate ambiguous, edge-case, or policy-sensitive outputs.
  • Conduct self-review to ensure work is accurate, complete, and aligned with project expectations.
  • Flag unclear guidelines, tooling issues, or recurring model behavior patterns.
  • Participate in calibration, feedback, and quality review sessions to improve consistency.
  • Maintain readiness to pivot quickly between different red teaming runs when active work is launched.

Requirements:
  • Native-level or near-native English proficiency with excellent written communication skills.
  • Strong creative writing ability and comfort constructing varied prompts.
  • Work Authorization is required for the role.
  • Experience with red teaming, safety data annotation, content evaluation, safety review, content moderation, QA, or AI model evaluation preferred.
  • Strong attention to detail and ability to follow complex project guidelines.
  • Ability to think critically and evaluate open-ended model responses.
  • Comfort working with sensitive, adult, NSFW, or policy-relevant content where required.
  • Interest in generative AI, AI safety, large language models, or emerging AI technologies.
  • Ability to work quickly and accurately during short production windows.
  • Bachelor's degree or equivalent practical experience preferred.

Ways to Stand Out from the Crowd
  • Background in creative writing, English, linguistics, journalism, communications, policy, trust and safety, or content moderation.
  • Experience evaluating generative AI prompts and responses.
  • Familiarity with AI safety, red teaming, jailbreak testing, RLHF, or model evaluation workflows.
  • Experience working with safety taxonomies, policy guidelines, evaluation rubrics, or defect categories.
  • Prior experience reviewing sensitive, adult, NSFW, or policy-relevant content in a professional setting.
  • Experience with multimodal AI workflows involving text, image, audio, or video.
  • QA/testing experience within AI, data operations, content review, or annotation environments.
  • Ability to explain a repeatable approach for staying consistent during high-volume, judgment-based work.

Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.
To know more details (Click here)
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program.
As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Apply