Data Entry

About the Role

Day-to-day responsibilities will include annotating images with precision, ensuring that all data is accurate and consistent. The role is integral to the development of AI models, as incorrectly annotated data can lead to flawed model performance. Candidates will be part of a team that values precision and is committed to delivering high-quality outputs.

Smart IT Frame LLC is invested in the growth and development of its employees, providing opportunities for professional advancement in the field of data science and AI. The company's focus on remote work allows for a flexible and accommodating work environment that suits the needs of modern professionals.

What You Will Do

• Annotate images with precision, following strict guidelines to ensure data quality and consistency.
• Work closely with the data science team to understand project requirements and deliver annotated data that meets these needs.
• Utilize digital tools for image annotation, staying up-to-date with the latest software and technologies.
• Participate in quality control processes to ensure the accuracy of annotated data.
• Collaborate with the team to solve annotation challenges and improve processes.
• Maintain detailed records of annotated data for reference and auditing purposes.
• Stay informed about developments in AI and machine learning to continuously improve annotation skills.
• Assist in the development of annotation guidelines and best practices.

What We Are Looking For

• Strong attention to detail, with the ability to accurately annotate images according to project specifications.
• Basic understanding of digital tools and software used for image annotation.
• Ability to work independently in a remote setting, with strong self-motivation and discipline.
• Good communication skills, with the ability to collaborate effectively with team members.
• Familiarity with concepts related to AI and machine learning, though not necessarily in-depth knowledge.
• High school diploma or equivalent; further education in a related field is a plus.
• Ability to learn and adapt to new annotation tools and technologies quickly.
• Experience with data entry or annotation is desirable but not required.

Nice to Have

• Previous experience in data annotation or a related field.
• Knowledge of programming languages such as Python.
• Experience with machine learning frameworks.
• Certification in data science or a related field.
• Proficiency in more than one language, which can be beneficial for annotations requiring linguistic knowledge.

Benefits and Perks

• Opportunity to work on cutting-edge AI and machine learning projects.
• Competitive compensation package.
• Flexible, remote work environment that allows for work-life balance.
• Professional development opportunities, including training and education support.
• Access to the latest digital tools and technologies for image annotation.
• Health insurance and retirement plans.
• Generous PTO policy and paid holidays.
• Remote stipend to support home office setup and productivity.

• Ensure your resume and cover letter are tailored to the role, highlighting any relevant experience in data entry or annotation, and mentioning your ability to work remotely effectively.
• Be prepared to provide examples of your attention to detail and ability to work accurately in a fast-paced environment.
• Familiarize yourself with common digital tools used for image annotation to demonstrate your adaptability and eagerness to learn.
• During the interview, ask about the company culture, opportunities for growth, and the typical career path for Data Entry Associates to show your interest in the role and the company.
• Consider creating a portfolio of your work, even if it's just examples of your annotation skills, to stand out from other applicants.
• When discussing salary, be prepared to talk about your expectations based on industry standards and your skills, but also be open to negotiation and learning about the company's compensation philosophy.