At a Glance
- Tasks: Test and improve the safety of conversational AI systems through creative problem-solving.
- Company: Join a forward-thinking partner company focused on AI safety.
- Benefits: Earn $48–$62 per hour, work remotely, and enjoy flexible hours.
- Other info: Work on diverse projects and enhance your expertise in AI safety.
- Why this job: Make a real impact on AI safety while developing your skills in a dynamic environment.
- Qualifications: Fluent in English and Norwegian with experience in AI testing or cybersecurity.
The predicted salary is between 62 - 62 £ per hour.
This position is listed on behalf of a partner company, who manages all applications and next steps.
Our partner is looking for an AI Safety Expert — English & Norwegian based in Canada.
This contract role offers an opportunity to help strengthen the safety and reliability of conversational AI systems and intelligent agents.
You will conduct structured adversarial testing to uncover vulnerabilities, jailbreaks, prompt injections, misuse scenarios, and potential bias exploitation.
Your work will help identify weaknesses before they can affect users or real-world deployments.
You will generate high-quality human evaluation data by annotating failures, classifying vulnerabilities, and identifying systemic risks.
The role combines creative problem-solving with rigorous testing methodologies, frameworks, and benchmarks.
Working remotely across evolving projects, you will produce reproducible findings that help technical and non-technical stakeholders take meaningful action.
Accountabilities
- Conduct red-team testing of conversational AI models and agents to identify jailbreaks, prompt-injection vulnerabilities, misuse scenarios, and opportunities for bias exploitation.
- Develop creative and realistic adversarial prompts and attack scenarios designed to probe model weaknesses.
- Generate high-quality human evaluation data by annotating model failures, classifying vulnerabilities, and identifying systemic safety risks.
- Apply established taxonomies, benchmarks, testing frameworks, and playbooks to ensure consistent and rigorous evaluations.
- Document findings in a reproducible manner through detailed reports, datasets, attack cases, and supporting evidence.
- Clearly communicate technical findings and risk assessments to both technical and non-technical stakeholders.
- Adapt testing approaches across different projects, AI systems, use cases, and customer requirements while maintaining consistent quality standards.
- Contribute insights that help improve AI safety practices, model robustness, and risk mitigation strategies.
Requirements
- Fluent or professional-level proficiency in both English and Norwegian , with strong written and verbal communication skills.
- Prior experience in AI red teaming, adversarial AI work, cybersecurity, penetration testing, or socio-technical risk assessment.
- Demonstrated ability to systematically probe complex systems for vulnerabilities, unexpected behaviors, and potential misuse.
- Experience applying structured frameworks, taxonomies, benchmarks, or testing methodologies to security or safety evaluations.
- Strong analytical and critical-thinking skills, combined with the creativity needed to develop novel probing strategies.
- Ability to clearly document technical findings and communicate them effectively to both technical and non-technical audiences.
- Strong attention to detail and commitment to producing reproducible, high-quality evaluation results.
- Adaptability and ability to move efficiently between different projects, models, use cases, and customer requirements.
- Experience in adversarial machine learning, cybersecurity, or socio-technical risk is preferred.
- Creative-probing skills developed through psychology, acting, creative writing, or related disciplines are an advantage.
Benefits
- Competitive contract compensation of
- Fully remote work environment.
- Flexible, project-based working structure.
- Opportunity to contribute directly to the safety and responsible development of advanced AI systems.
- Exposure to diverse AI models, agents, safety challenges, and adversarial testing methodologies.
- Opportunity to apply both technical and creative problem-solving skills to emerging AI safety challenges.
- Work across varied projects and use cases with the opportunity to expand expertise in AI safety and security.
- Meaningful contribution to improving the robustness, reliability, and responsible deployment of conversational AI.
- #J-18808-Ljbffr
AI Safety Experts — English & Norwegian employer: Jobgether
At Jobgether, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. Our remote working environment allows for flexibility while providing ample opportunities for professional growth and development in the tech industry. Join us to make a meaningful impact in enhancing open-source technology adoption, all while enjoying the benefits of a supportive team and a commitment to your career advancement.
StudySmarter Expert Advice🤫
We think this is how you could land AI Safety Experts — English & Norwegian
✨Showcase Your Skills with a Public Portfolio
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We think you need these skills to ace AI Safety Experts — English & Norwegian
Some tips for your application 🫡
Showcase Your Projects:When applying for a freelance data science role like AI Safety Experts — English & Norwegian at Jobgether, it’s crucial to highlight your projects. Include a portfolio that features at least two or three projects involving data analysis, machine learning, or visualisation. Make sure to describe the tools and methodologies you used, so we can see your skills in action!
Quantify Your Achievements:Freelance gigs, especially in data science, often ask for proven results. In your CV, include any relevant metrics or outcomes from your previous work. Did your analysis help reduce costs by a certain percentage? Or did your predictive model improve performance? Numbers speak volumes!
Introduce Your Style:Since freelancing is all about your individual style and approach, use your cover letter to share how you tackle data problems. This is your chance to let us know how you think, your creative problem-solving methods, and how you would approach a project at Jobgether.
Be Real About Your Rates:When you send in your application, don’t forget to mention your freelance rates and availability. We appreciate clarity up front, and it helps us gauge if you fit within our budget and timeline. Being transparent in this aspect shows professionalism and readiness!
How to prepare for a job interview at Jobgether
✨Show Off Your Data Wizardry
As a freelancer in data science, you'll want to present a portfolio that showcases your best projects. We should pull together examples where you tackled real problems with data analytics, machine learning models, or visualisations. It's all about demonstrating your skills in action!
✨Be Ready to Dive Deep into Technical Questions
Expect to encounter some technical grilling during the interview. Prepare to discuss statistical methods, algorithms, or maybe even tackle a live coding challenge. We should brush up on tools like Python, R, or SQL—those are key players in the data science field. Don't just know them; be ready to explain your thought process!
✨Help Them Understand Your Work Style
Freelance gigs often mean you'll be working independently, so we need to convey our self-motivation and time management skills. Be prepared to talk about how you’ve handled multiple projects or met tight deadlines before. Sharing your approach to client communication can also give them confidence in your ability to deliver remotely.
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When freelancing, it’s crucial to clearly articulate what makes you unique. We should highlight not just technical skills but also the business impact of our projects. Think of a couple of stories where your data insights drove decision-making—this can be a game changer in showing why they should choose you for their freelance needs!