Cohere

Cohere is seeking a Machine Learning Engineer specializing in pretraining data to develop data pipelines for their advanced language models. The role involves conducting data ablations, evaluating data quality, and constructing pre-training data mixtures to enhance model performance, directly contributing to improvements in training metrics like throughput and accelerator utilization.

Cohere is seeking a Machine Learning Engineer specializing in synthetic data to develop and manage the synthetic data pipeline for their advanced language models. This role involves end-to-end management of synthetic data, including pipeline optimization, data analysis and generation, and model evaluation. The engineer will work with diverse web and code data, transforming it using generative models to improve token efficiency and model quality, bridging research and engineering to enhance training metrics like throughput and accelerator utilization.

This role focuses on data annotation and evaluation for AI models, specifically breaking down engineering procedures into steps for the model to learn and complete. The specialist will task models, verify accuracy, and label/proofread outputs, requiring a background in engineering fields.

The role involves labeling, ranking, auditing, and correcting text data in Modern Standard Arabic (MSA) to improve the performance of Large Language Models. It requires native or near-native proficiency in MSA, excellent English, basic data manipulation skills, and strong attention to detail. This is a part-time, remote, independent contractor position.

The role involves data annotation, labeling, and ranking for Arabic language (Najdi/Hijazi dialect) to improve Large Language Model performance. This is a part-time, independent contractor position requiring native or near-native Arabic proficiency and good English command, with a focus on data integrity and quality.

Cohere is seeking a part-time Data Annotation Specialist with native or near-native Portuguese proficiency to label, rank, audit, and correct machine learning data. This role is crucial for improving the performance of Large Language Models and requires strong attention to detail, data manipulation skills, and the ability to follow complex instructions. The position is a 12-month independent contractor role within Canada, requiring a minimum of 16 hours per week.

Cohere is seeking a Data Annotation Specialist with native or near-native Japanese proficiency to label, rank, audit, and correct machine learning data. This role is crucial for improving the performance of Large Language Models by ensuring data quality and accuracy. The position is a part-time, remote, independent contractor role within Canada, requiring a minimum of 16 hours per week.

This role focuses on data annotation, labeling, ranking, auditing, and correcting text output in Chinese to improve Large Language Model performance. It involves basic data manipulation and preference-based tasks, with a focus on data quality and accuracy. The role is part-time, remote, and contract-based.

Cohere is seeking a Data Annotation Specialist with native or near-native German proficiency to label, rank, audit, and correct machine learning data. This part-time, remote, independent contractor role involves improving LLM performance through meticulous data handling and feedback, with a focus on German language tasks. Requires basic data manipulation skills and a high tolerance for repetitive work.