At a Glance
- Tasks: Record clear and engaging descriptions of visual content for AI projects.
- Company: Join Crossing Hurdles, a forward-thinking tech company focused on innovation.
- Benefits: Earn $21/hr with flexible hours and the chance to work remotely.
- Other info: Enjoy a dynamic role with potential for extension and growth.
- Why this job: Make your voice heard while contributing to exciting AI research.
- Qualifications: Strong English skills and attention to detail; prior experience is a bonus.
Crossing Hurdles is a recruitment firm. We refer top candidates to our partners working with the world’s leading AI research labs to help build and train cutting-edge AI systems.
Type: Hourly Contract (Remote)
Compensation: $21/hour
Location: Remote
Duration: Flexible (minimum 10–20 hrs/week for 1–2 months, with potential for extension)
Requirements
- Excellent verbal communication and enunciation skills
- Native or near-native fluency in English (additional language fluency is a plus)
- Strong attention to detail and ability to follow precise guidelines
- Prior experience with voice recording or data annotation is a plus, but not required
- Comfortable working independently and handling repetitive tasks consistently
Role
- Record clear, concise, and natural-sounding descriptions of visual content
- View a series of images and generate spoken descriptions (typically 2–3 minutes each)
- Ensure high-quality recordings free from background noise or distortion
- Follow linguistic, timing, or stylistic guidelines set by the research team
- Collaborate with AI researchers and QA teams to review and iterate on data quality
Application Process
- Upload resume
- Participate in AI interview (10 min)
We are an equal opportunities employer and welcome applications from all qualified candidates.
Data Annotator | $21/hr Remote employer: Crossing Hurdles
Crossing Hurdles is an exceptional employer that fosters a collaborative and innovative work culture, making it an ideal place for a Kubernetes Cloud Engineer & CI/CD Specialist. With a strong emphasis on employee growth, we offer continuous learning opportunities and the chance to work with cutting-edge technologies in a dynamic environment across the UK. Our commitment to work-life balance and a supportive team atmosphere ensures that you can thrive both personally and professionally.
StudySmarter Expert Advice🤫
We think this is how you could land Data Annotator | $21/hr Remote
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Crossing Hurdles!
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Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Annotator | $21/hr Remote at Crossing Hurdles.
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Crossing Hurdles.
✨Apply Directly through Our Website
When you find a suitable opening like Data Annotator | $21/hr Remote at Crossing Hurdles, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Annotator | $21/hr Remote
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Crossing Hurdles, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Crossing Hurdles. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Crossing Hurdles
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Crossing Hurdles!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
