Technical Research Associate

As a Technical Research Associate at Keywords, your role revolves around data collection to support AI development. You will engage in analyzing AI approaches, creating prompts, and documenting performance issues to refine AI interactions. This collaborative position thrives in a fast-paced environment where your input helps enhance user experience and AI functionality.

Candidates for the Technical Research Associate role at Keywords should ideally have a background in QA or data analysis. Familiarity with AI concepts and strong organizational skills are key. Experience with tools like Excel, JIRA, or Google Sheets is preferred, alongside excellent communication skills and a proactive approach to team collaboration.

Yes, the Technical Research Associate position at Keywords is remote, with a preference for candidates in the PST time zone. This allows for flexibility while maintaining a structured work schedule from Monday to Friday.

The pay range for a Technical Research Associate at Keywords varies from $26 to $29 per hour, depending on experience and location. This competitive compensation reflects our commitment to valuing our team.

At Keywords, you'll find a casual, fun, and productive work environment! We prioritize teamwork, open communication, and continuous learning while ensuring a supportive atmosphere that empowers you to excel.

Technical Research Associates at Keywords enjoy a range of benefits, including paid time off for vacations and sick days, comprehensive medical, dental, and vision coverage, and a 401k with a 3% match. We believe in supporting our employees well-being both professionally and personally.

Keywords supports the growth of Technical Research Associates through hands-on experience and training opportunities. We embrace a culture of learning and encourage our team members to tackle new challenges that enhance their skills and careers.

When discussing your experience, focus on specific projects where you collected and analyzed data, the tools you used (like Excel or Google Sheets), and the outcomes. Be concise, but share how your insights contributed to decision-making.

Express your enthusiasm for AI and its potential to transform human interaction. Highlight any relevant experiences or coursework that sparked your interest and how you see yourself contributing to AI advancements at Keywords.

Use the STAR method (Situation, Task, Action, Result) to outline a challenging situation you encountered. Be detailed about your approach to troubleshooting and the impact of your solution on the project or team.

Share your organizational strategies, such as using project management tools to keep track, setting deadlines, and communicating with team members about expectations. Highlight the importance of adaptability in a fast-paced environment.

List the software tools you are most familiar with, focusing on spreadsheets and project management software, and provide examples of how you've used them effectively. Transparency about your technical skills will impress interviewers.

Discuss specific techniques you use to maintain accuracy, such as double-checking your work, using checklists, or collaborating with team members for quality assurance. Emphasize that details matter, especially in roles involving technology and data.

Reflect on your knowledge of AI systems and your experience with user data. Suggest specific areas for enhancement, demonstrating your forward-thinking approach and willingness to contribute to ongoing improvement.

Respond by emphasizing your growth mindset. Discuss an instance where feedback helped you improve your skills or work processes and how you welcomed constructive criticism as a means to better your performance.

Provide a specific example where you used clear communication to resolve a misunderstanding or to progress a project. Highlight the importance of transparency and collaboration in creating a productive team environment.

Be honest about your challenges, but highlight how you plan to overcome them with proactive learning and collaboration. This could include mastering new software or adapting to the fast-paced nature of the role.