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About the Organisation
DA Data Annotation Tech is a technology-driven company specializing in providing high-quality data annotation services for Artificial Intelligence and Machine Learning projects. The company partners with global organizations to deliver structured and accurate datasets that power AI applications in natural language processing, computer vision, voice recognition, and autonomous systems. By combining skilled professionals with cutting-edge tools, DA Data Annotation Tech ensures reliable and scalable data solutions that support innovation and digital transformation.
Remote AI Prompt Engineering & Evaluation (FT/PT – Training Provided) job at DA Data Annotation Tech | Apply Now
Are you looking for IT remote jobs 2025 today? then you might be interested in Remote AI Prompt Engineering & Evaluation (FT/PT – Training Provided) job at DA Data Annotation Tech
Full Time
Deadline:
31 Oct 2025
Job Title
Remote AI Prompt Engineering & Evaluation (FT/PT – Training Provided) job at DA Data Annotation Tech
DA Data Annotation Tech
Job Description
As a Data Annotation Technician, you will work with specialized tools to annotate different types of data following strict guidelines. You will review raw inputs, assign correct labels, and ensure the quality and accuracy of datasets used by data scientists and engineers. Tasks may include text tagging, image segmentation, bounding box drawing, speech transcription, or video frame annotation. This position offers an opportunity to work on cutting-edge AI projects and develop a deeper understanding of the data lifecycle in machine learning.
Duties, Roles and Responsibilities
Qualifications, Education and Competencies
See all details of the qualifications, competencies and education for this role under the "How to Apply" section below.
ONLY ONLINE APPLICATIONS:
Interested and qualified candidates are advised that all applications should be submitted online.
To apply please click on the APPLY button below.
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How to Apply
Annotate datasets (text, image, audio, video) according to project guidelines.
Verify and correct annotations for accuracy and consistency.
Collaborate with engineers and QA teams to refine data labeling processes.
Use annotation software and productivity tools effectively.
Maintain confidentiality and security of sensitive data.
Meet productivity and quality targets set by supervisors.
SERVICES
COMMERCIAL
SERVICES
INDUSTRIAL
SERVICES
RESIDENTIAL
Previous experience in data annotation, data entry, or related field preferred.
Excellent attention to detail and organizational skills.
Strong computer literacy, including Microsoft Office Suite and annotation platforms.
Ability to work independently and manage time effectively.
Good written and verbal communication skills.
Familiarity with AI/ML concepts is an advantage, but not mandatory.
High school diploma required; further qualifications in IT/Data Science are a plus.
