Graphic Designer

About The Company
Workada is a pioneering technology company dedicated to enhancing the accuracy and reliability of artificial intelligence systems through high-quality data labeling and evaluation. Our mission is to improve the performance of AI models by providing precise, consistent, and comprehensive feedback on various data types, including text, images, videos, and documents. We leverage cutting-edge tools and methodologies to support the development of smarter, more intuitive technologies that impact everyday life. At Workada, we foster an innovative environment that values collaboration, integrity, and continuous learning, aiming to set new standards in data annotation and AI validation services.

About The Role
We are seeking detail-oriented and critical thinkers to join our evaluation team. In this role, you will be responsible for assessing outputs generated by AI models, ensuring they meet specific quality standards and adhere to detailed guidelines. Your evaluations will involve analyzing diverse data formats, including text, images, videos, and documents, to identify errors, inconsistencies, or areas for improvement. By providing clear, well-reasoned feedback, you will directly contribute to refining AI systems, making them more accurate and effective in real-world applications. This position offers an excellent opportunity for individuals passionate about technology, quality assurance, and data integrity to make a tangible impact in the AI industry.

Qualifications

Proven experience in roles involving detailed evaluation, quality assurance, or technical assessment, preferably within AI, UI/UX, graphics, or content creation.

Exceptional written and verbal communication skills, with the ability to articulate judgments clearly and concisely.

Strong critical thinking and analytical skills, capable of identifying errors and inconsistencies across diverse data types.

Ability to follow complex written guidelines and standards independently with high accuracy.

Comfortable working in a fast-paced environment, managing multiple evaluation tasks efficiently.

Technical proficiency with standard computer applications and familiarity with AI or data annotation tools is a plus.

Prior experience in research, editing, content review, or technical documentation is advantageous.

Responsibilities
As a Data Evaluation Specialist at Workada, your core responsibilities will include:

Review and assess outputs generated by AI models, ensuring compliance with detailed evaluation criteria.

Identify errors, discrepancies, or inconsistencies in text, images, videos, and documents.

Provide well-reasoned, clear feedback and justifications for your evaluations to facilitate system improvements.

Maintain high standards of quality and accuracy in all assessments, catching details that others may overlook.

Follow detailed evaluation guidelines and standards independently, ensuring consistency across assessments.

Collaborate with team members to share insights, improve evaluation processes, and uphold quality benchmarks.

Stay updated on the latest evaluation techniques and industry standards to enhance your effectiveness.

Benefits
Workada offers a comprehensive benefits package designed to support our employees' professional growth and well-being. These include competitive compensation, flexible working hours, and opportunities for remote work. Employees gain access to ongoing training and development programs to enhance their skills and knowledge in AI and data annotation fields. We promote a collaborative and inclusive work environment that values diversity and innovation. Additionally, our team members enjoy health insurance options, paid time off, and other perks aimed at fostering a healthy work-life balance. Joining Workada means becoming part of a forward-thinking organization committed to technological advancement and employee success.

Equal Opportunity
Workada is an equal opportunity employer. We are committed to fostering an inclusive environment where all employees and applicants are treated with respect and fairness. We do not discriminate based on race, ethnicity, gender, age, religion, sexual orientation, disability, or any other protected characteristic. Our hiring practices are based solely on qualifications, skills, and experience, ensuring that everyone has an equal chance to contribute and grow within our organization.

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