AI Data Specialist

About the Role

In this position, you will be part of a team that values collaboration and innovation. Your day-to-day responsibilities will involve working with different types of data to support AI and machine learning workflows, reviewing and evaluating data quality, and identifying patterns and inconsistencies. You will also collaborate with cross-functional teams to understand project requirements and provide feedback, ensuring that data outputs meet the high standards required for reliable model performance.

Given the remote nature of this role, it's essential to be self-motivated, disciplined, and able to work independently. However, you will also be part of a global team, contributing to and learning from a diverse group of professionals. The ability to communicate effectively, both in writing and verbally, is crucial for success in this position.

What You Will Do

• Work with different types of data to support AI and machine learning workflows, ensuring that data outputs are of high quality and reliable.
• Review, evaluate, and improve data quality to ensure that it meets the standards required for machine learning model performance.
• Follow established guidelines and processes to maintain consistency across tasks and ensure that outputs are consistent and of high quality.
• Collaborate with cross-functional teams to understand project requirements, provide feedback, and ensure that data outputs meet project needs.
• Identify patterns, inconsistencies, and opportunities for process improvements in data workflows.
• Organize and manage data efficiently, maintaining clear documentation and ensuring that data is easily accessible.
• Meet deadlines while maintaining a high standard of accuracy and quality in all work outputs.
• Develop and maintain strong working relationships with team members and stakeholders.
• Stay up-to-date with the latest developments in AI, data science, and related technologies, applying this knowledge to improve workflows and outputs.

What We Are Looking For

• Strong attention to detail and problem-solving skills, with the ability to analyze complex data sets and identify issues.
• Good written and verbal communication skills, with the ability to explain complex technical concepts to both technical and non-technical stakeholders.
• A generalist mindset with an interest in AI, data, or technology, and a willingness to learn and adapt to new technologies and workflows.
• Ability to work independently in a remote environment, with strong self-motivation and discipline.
• Basic familiarity with structured data (e.g., JSON) is a plus, though not mandatory.
• Strong organizational and time management skills, with the ability to prioritize tasks and meet deadlines.
• Experience working with data tools and technologies, though specific experience is not always required.
• A degree in a relevant field (e.g., computer science, data science, mathematics) or equivalent experience.

Nice to Have

• Experience with machine learning or AI development, particularly in relation to data workflow optimization.
• Knowledge of data visualization tools and techniques, with the ability to present complex data insights effectively.
• Familiarity with agile development methodologies and version control systems (e.g., Git).
• Certification in data science, machine learning, or a related field, demonstrating a commitment to professional development.

Benefits and Perks

• Competitive salary ranging from $60,000 to
  50,000, depending on experience and qualifications.
• Opportunity to work with cutting-edge AI and data technologies, contributing to the development of innovative systems.
• Collaborative and dynamic work environment, with a team that values innovation and professional growth.
• Flexible remote work arrangements, allowing for a better work-life balance.
• Access to professional development opportunities, including training and education resources.
• Health insurance and retirement planning benefits, supporting your long-term well-being and financial security.
• Generous PTO policy, ensuring you have time to recharge and pursue your interests.

• When applying, make sure to EXCELENTly tailor your resume and cover letter to the role, highlighting your experience with data workflows and AI technologies.
• To stand out, include specific examples of how you've improved data quality or optimized workflows in previous roles, demonstrating your problem-solving skills and attention to detail.
• Be prepared to discuss your experience with remote work and how you maintain productivity and collaboration in a virtual team environment.
• In your application, mention your familiarity with tools like Excel and any experience with data visualization or machine learning, even if it's not directly listed as a requirement.
• When discussing salary, be prepared to negotiate based on your experience and the value you can bring to the role, keeping in mind the listed salary range of $60,000 to
  50,000.
• Ensure you understand the company culture and values, and be ready to explain why you're a good fit for micro1's team and mission.
• Prepare questions to ask during the interview, such as what a typical day looks like, how the team collaborates remotely, and opportunities for growth and professional development within the company.