Language Specialists – AI Data Annotation Projects (Remote, Freelance) 1210 applicants
iMerit, an EXL company is looking for fluent speakers of the following languages to participate in a remote AI data annotation project
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iMerit, an EXL company is looking for fluent speakers of the following languages to participate in a remote AI data annotation project
iMerit, an EXL company, is looking for remote independent contractors to review short videos used to train AI-powered robotic systems, identifying fraud and recording errors.
You will design reinforcement learning environments, evaluation systems, and reward functions to assess agent behavior. Additionally, you will integrate business workflows into measurable scenarios and mentor contributors on evaluation practices.
You will perform complex multimodal data annotation, including image, video, LiDAR, and geospatial data, while maintaining high quality standards. Additionally, you will lead annotation projects, refine labeling guidelines, and train team members to ensure consistency across AI research datasets.
You will evaluate and improve AI model responses by ranking outputs, rating accuracy, and providing structured feedback. Additionally, you will fact-check claims and ensure responses adhere to content policies and style guidelines.
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You will write and review high-quality prompts and responses to train AI models across specialized fields like mathematics, science, and software engineering. Additionally, you will critique model-generated content, perform translations, and extract structured data from complex documents.
You will design and execute assessments to measure AI model capabilities and safety while developing rubrics for grading model outputs. Additionally, you will analyze error patterns, compare model performance, and document findings to improve evaluation benchmarks.
The role involves evaluating and ranking expert-level AI model outputs against detailed rubrics and quality standards. You will also be responsible for fact-checking claims, calibrating other raters, and refining grading guidelines.
You will lead red teaming campaigns and safety evaluations to identify vulnerabilities in AI models, including prompt injection and tool misuse. Additionally, you will design bias testing frameworks and audit model behavior against safety policies to ensure compliance.
Operate robots and capture high-quality data using various sensors, cameras, and motion capture systems for AI training. Document tasks and evaluate robot performance to ensure accurate data collection and system improvement.
You will write, edit, and evaluate content to help AI models improve their reasoning and response accuracy. Responsibilities include developing step-by-step explanations, debugging code, and performing translation or localization tasks.
You will lead the design, validation, and grading operations for AI model benchmarks and assessments. This includes calibrating graders, analyzing model failures, and conducting rigorous model comparison studies.
You will source, curate, and validate datasets to improve AI system quality while generating synthetic examples. Additionally, you will review annotations, ensure consistency through audits, and refine labeling guidelines.
You will identify and document AI model vulnerabilities by performing safety tests and adversarial prompts. You will also evaluate model responses against safety policies and label content for potential bias or harmful directives.
Lead data operations for AI model development by managing data sourcing, collection, and quality assurance processes. Oversee annotation teams, maintain labelling guidelines, and report on key performance metrics to ensure high-quality datasets.
You will build reinforcement learning environments and translate business workflows into trainable scenarios for AI agents. Additionally, you will evaluate agent behavior, investigate failures, and collect execution traces to support AI system development.
Classify and annotate diverse data types including images, video, audio, and documents to support AI training. Perform precise labeling tasks such as object tracking, entity tagging, and geospatial data processing.
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