Data Annotator

Company Description Josisoft Technologies is a specialized data solutions partner focused on human-in-the-loop training datasets, RLHF model evaluation, and custom multimodal data collection for AI and machine learning teams. The company supports frontier AI labs, AI-native businesses, and enterprises in building accurate, reliable, and domain-aware systems across areas such as Computer Vision, Generative AI, multilingual speech and language, and real-world multimodal capture. Through a vetted network of native bilingual specialists and Subject Matter Experts, Josisoft delivers high-quality dataset creation, supervised fine-tuning, reasoning evaluation, safety red-teaming, and preference ranking for next-generation models.
Role Description The Data Annotator role is a part-time, remote position focused on producing high-quality labeled data for AI and machine learning projects. Day-to-day tasks include reviewing and annotating text, images, audio, and video according to detailed guidelines, applying consistent labels and metadata, and following project-specific taxonomies and schemas. Data Annotators will work inside client or internal annotation platforms, perform quality checks on their own work, and collaborate with project leads to clarify instructions and edge cases. The role also involves flagging ambiguous or risky content, providing structured feedback on annotation guidelines, and maintaining productivity and accuracy targets aligned with strict quality assurance standards.
Qualifications
Ability to accurately annotate and label multimodal data (text, image, audio, video) following detailed instructions and taxonomies.
Strong attention to detail, consistency, and quality control, with the capacity to identify errors, ambiguities, and edge cases.
Comfort working with annotation tools and platforms (e.g., CVAT, Label Studio, SuperAnnotate, V7) or similar web-based systems.
Solid reading comprehension, analytical thinking, and basic familiarity with AI/ML concepts, especially data labeling and evaluation.
Reliable time management skills to meet part-time project deadlines in a remote, independent work environment.
Clear written communication skills for reporting issues, documenting observations, and collaborating with project managers and SMEs.
Experience with data annotation, quality assurance, linguistics, or domain-specific labeling (e.g., healthcare, finance, legal) is beneficial.
Proficiency in English; additional language skills and bilingual or multilingual capability are a strong plus.
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Work arrangement
No