NexPred Solutions — Data Annotator Job 2026 | Remote Part-Time | ML Data Labeling | Labelbox · CVAT · Supervisely
AI/ML Data Preparation · Image & Text Annotation · 1–2 Years Experience · Remote Work · Detail-Oriented Role
✉️ careers@nexpredsolutions.com✉️ careers@nexpredsolutions.com
🏢 About NexPred Solutions
NexPred Solutions is an AI/ML solutions company focused on building and deploying machine learning models for various industries. They are expanding their data preparation and labeling team with skilled Data Annotators who will work remotely on diverse datasets — from image classification and object detection to text labeling tasks. This is a part-time remote opportunity ideal for detail-oriented professionals with annotation tool experience.
📋 Roles & Responsibilities
Annotate and label datasets including text, images, video frames, or other data formats based on specific project requirements. Use annotation tools like Labelbox, CVAT, or Supervisely to tag, classify, segment, or bounding-box items as per guidelines. Maintain annotation speed and quality simultaneously.
Strictly follow detailed annotation guidelines provided for each project. Review and validate annotated data to maintain quality standards and inter-annotator consistency. Identify and report errors, ambiguous cases, or unclear data items to the project lead for clarification.
Collaborate with remote ML teams via communication tools (Slack, email, etc.). Complete assigned annotation tasks within deadlines. Maintain proper records of completed work, task logs, and progress updates in project management tools or spreadsheets.
🎓 Requirements & Skills
✓ Strong attention to detail
✓ Labelbox / CVAT / Supervisely
✓ Excel & Google Sheets
✓ Remote work ability
✓ Good communication (English)
✓ Deadline-driven mindset
✓ Image segmentation experience
✓ Named Entity Recognition (NER)
✓ Object detection annotation
✓ Quality assurance experience
✓ Python basics (advantage)
✓ Portfolio of annotation projects
📩 How to Apply
✉️ careers@nexpredsolutions.com
Subject: "Data Annotator Application – [Your Name]"
Include examples of annotation projects you've completed — screenshots of labeled datasets, tools used, types of annotation (bounding box, segmentation, NER, classification), and quality metrics achieved.
▸ Labelbox: Know how to create ontologies, label images with bounding boxes/polygons, and use review workflows.
▸ CVAT: Familiar with object tracking, semantic segmentation, and JSON export format.
▸ Supervisely: Experience with neural network-assisted annotation, project management, and team collaboration features.
▸ Part-time remote — set up a dedicated, distraction-free workspace. Mention your internet speed and remote work setup in your email.
▸ NLP annotation experience (sentiment, NER, intent classification) is highly valued for text datasets.
