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Remotasks
Mercor
Appen
Image
Audio
Video
Text
Document
Prompt + Response Writing (SFT)
Fine-tuning
ClassificationSenior Data Annotation & AI Training Freelancer (Remote) — 2020–Present. Core strengths include Other, Don't disclose, and Remotasks. AI-training focus includes data types such as Image, Audio, and Video and labeling workflows including Evaluation, Rating, and Prompt + Response Writing (SFT).
ImageContributed to NLP and computer vision datasets at scale. Performed quality checks and dataset validation prior to delivery to ensure readiness for downstream model training. Supported scalable dataset production with accuracy-focused reviews.•Contributed to NLP dataset creation at scale. •Contributed to computer vision dataset work. •Performed quality checks before delivery. •Validated datasets to meet release standards.
TextClassificationLabeled both structured and unstructured data to support supervised machine learning pipelines. Ensured proper labeling based on evolving annotation standards over time. Focused on maintaining accuracy and consistency as guidelines changed.•Labeled structured and unstructured items for supervised ML. •Applied changing annotation standards accurately. •Ensured correct mapping of data to labels. •Maintained consistent labeling quality for pipeline use.
AppenTextHandled multilingual data labeling and multilingual data classification across multiple datasets and fields. Maintained quality consistency to ensure uniform labeling standards. Supported linguistic AI projects by producing correctly categorized training data.•Labeled multilingual datasets for classification tasks. •Performed multilingual data classification. •Ensured labeling quality consistency across datasets. •Contributed to linguistic AI training data preparation.
MercorTextTested AI-generated materials by evaluating reasonableness, topicality, and practicality. Delivered structured feedback used to hone model behavior and improve output quality. Emphasized rubric-based evaluation to support better model responses.•Evaluated AI outputs for reasonableness, topicality, and practicality. •Provided structured feedback for iteration. •Assisted quality improvement of model outputs. •Applied evaluation criteria consistently.
RemotasksImageFine-tuningCompleted complex LLM training and data annotation tasks, including image annotation and response ranking. Focused on consistent and guideline-accurate execution for priority assignments. Supported advanced AI training pipelines through dataset construction and evaluation-oriented labeling.•Performed complex LLM training dataset annotation. •Completed image annotation and response ranking work. •Applied and followed labeling guidelines for accuracy. •Delivered reliable annotations for priority tasks.