At a Glance
- Tasks: Review AI-generated work for accuracy and quality, providing structured feedback.
- Company: Join Obsidian, a leader in AI and data evaluation.
- Benefits: Fully remote role with hourly pay and flexible working hours.
- Other info: Ideal for tech-savvy individuals looking for a dynamic remote opportunity.
- Why this job: Make an impact by ensuring the quality of innovative AI outputs.
- Qualifications: 5+ years of experience in IT/data and fluency in English required.
The predicted salary is between 60000 - 80000 £ per year.
Obsidian is seeking expert Evaluators in Software / AI / IT / data to review AI-generated work products for accuracy and quality. This role is fully remote and offers an hourly compensation model.
The ideal candidates will possess over 5 years of professional experience and fluency in English. They will leverage their expertise to provide structured feedback on various documents, including presentations and spreadsheets.
Strong proficiency in Microsoft Office and Google Workspace is essential for success in this role.
AI Output QA Specialist (Data/IT) — Remote employer: Obsidian
At Obsidian, we pride ourselves on fostering a dynamic and inclusive work culture that values expertise and innovation. As a fully remote employer, we offer flexible working arrangements, competitive hourly compensation, and ample opportunities for professional growth in the rapidly evolving field of AI and IT. Join us to be part of a collaborative team that is dedicated to delivering high-quality results while supporting your career development.
StudySmarter Expert Advice🤫
We think this is how you could land AI Output QA Specialist (Data/IT) — Remote
✨Showcase Your Skills with a Public Portfolio
As a freelancer in data science, having a killer portfolio is essential. Showcase your projects on platforms like GitHub or create a personal website that details your work and techniques. This gives potential clients a clear picture of what you can do and helps you stand out from the competition.
✨Get Involved in Data Science Communities
Tap into online forums like Kaggle or Stack Overflow. Not only can you showcase your expertise, but you can also connect with other data scientists and potential clients. Plus, participating in competitions and discussions can elevate your profile in the field.
✨Leverage Local Networking Opportunities
Keep an eye out for local data science meetups or tech events in your area. These are golden opportunities to meet potential clients and collaborators face-to-face. Plus, who doesn't love a bit of networking over pizza and drinks?
✨Pitch Your Services Directly to Companies
Don't just wait for freelancing platforms to bring clients to you—be proactive! Research companies that could benefit from data science services and craft tailored pitches. Mention specific pain points you can address for them. Let’s get that freelance hustle going!
We think you need these skills to ace AI Output QA Specialist (Data/IT) — Remote
Some tips for your application 🫡
Showcase Your Projects:When applying for a freelance data science role like AI Output QA Specialist (Data/IT) — Remote at Obsidian, 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 Obsidian.
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 Obsidian
✨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.
✨Pitch Your Value Proposition
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!
