AI and ML Network helps organizations build more reliable AI and machine learning systems through high-quality data, annotation, QA, and digital operations.
We are building a selective network of freelance and independent contractors for real client projects involving AI data, computer vision, NLP, QA, technical workflows, and digital operations.
We are looking for people who can follow complex instructions, work independently, learn unfamiliar tools quickly, maintain accuracy under repetitive workloads, and take responsibility for the quality of their output.
Applications will be reviewed based on demonstrated skills, relevant experience, and role-specific assessments.
Data Annotators / Data Labelers
Work with image, video, text, or audio datasets. Perform accurate bounding boxes, polygons, segmentation, keypoints, classification, tracking, and other annotation tasks according to detailed guidelines.
AI Training Data Specialists
Clean, organize, transform, validate, and prepare datasets for machine learning workflows. Understand file structures, metadata, formats, dataset consistency, and batch-based processing.
QA & Data Quality Reviewers
Audit annotation batches, identify subtle errors and inconsistencies, compare outputs against guidelines, and provide precise feedback to improve dataset quality.
Computer Vision Annotation Specialists
Handle advanced CV workflows including segmentation, keypoints, object tracking, multi-class datasets, video-frame annotation, and complex edge cases.
NLP / Text Annotation Specialists
Work with structured taxonomies for classification, intent, sentiment, NER, content categories, risk labeling, and other text-based annotation tasks.
Lead Generation & Outreach Specialists
Conduct structured prospect research, qualify leads, maintain accurate CRM records, and execute personalized outreach workflows.
SEO & Digital Operations Specialists
Support technical/content SEO, research, site operations, content workflows, analytics, and digital project execution.
AI / Technical Operations Specialists
Work with AI-assisted workflows, command-line tools, local applications, structured data, technical research, testing, and project-specific AI operations.
Applicants should be able to:
Depending on the role, experience with the following is highly valued:
You do not need every skill listed. Your application should clearly demonstrate the skills relevant to the role you are applying for.
We value quality over speed, consistency over guesswork, and reliability over impressive-looking resumes.
Previous AI/ML or annotation experience is valuable, but practical ability matters more than job titles or certificates.
Candidates may be asked to complete a practical assessment or trial task based on the role. Assessment results will be used to evaluate accuracy, reasoning, guideline adherence, and technical ability.
Apply through the form only:
https://forms.gle/yC82yBaBFQSe3R726
Please do not apply through LinkedIn.
The application includes:
Please apply only if you are genuinely prepared to work on real client projects under defined quality and delivery standards.
Selected candidates may be invited to an assessment, interview, on-boarding session, and/or project trial depending on the role and current project requirements.
AI and ML Network
This job post was sourced from LinkedIn Jobs While we strive to bring you the latest opportunities, Niyog has not verified this listing and cannot take responsibility for its accuracy or any outcomes related to it. Please review the details carefully and apply at your own discretion.