The Data & Machine Learning roles open on Alignerr today. For the same field across every platform, see all Data & Machine Learning jobs.
Pay figures cover the 47 open jobs that publish an hourly rate in USD. They are published rates, not a guarantee of income. Last checked on October 8, 2026.
This role involves testing and evaluating AI chatbot responses across diverse topics by engaging in conversations, identifying issues, and providing structured feedback. The position is designed for individuals with strong critical thinking and communication skills who want to contribute to AI safety and improvement without requiring prior technical or AI experience.
Review and evaluate AI-generated outputs across text, images, and structured data to assess quality, accuracy, and consistency. This remote contract role is ideal for detail-oriented individuals who can identify errors and provide actionable feedback to guide AI model improvement, with no prior AI experience required.
This role involves reviewing AI-generated content to identify and flag bias, safety issues, and ethical concerns that could affect global audiences. Reviewers apply fairness and safety guidelines to ensure AI systems are responsible and trustworthy, providing structured written feedback on diverse content types.
An AI Red Team Analyst probes and stress-tests AI systems to identify security vulnerabilities, craft adversarial prompts, and evaluate model safety before bad actors can exploit them. This remote contract role suits security-minded professionals who combine cybersecurity expertise with hands-on experience testing large language models and AI systems.
This role involves testing and evaluating AI models by designing adversarial prompts and scenarios to identify weaknesses, biases, and unsafe outputs. Red team testers document discovered failure modes and assess their severity to help improve AI safety before deployment.
This role involves conducting security testing and red-teaming exercises on AI systems to identify vulnerabilities, weaknesses, and failure modes. The position is designed for security professionals who can think like attackers and use creative methods to stress-test AI models and evaluate their safety, bias, and policy compliance.
This role involves completing structured evaluation and labeling tasks to train and improve AI systems. You will assess AI-generated content across multiple formats and provide feedback to help make AI systems more accurate and reliable, working remotely on a flexible schedule.
AI Training Specialists label, classify, rate, and evaluate AI-generated content across multiple formats to improve AI system accuracy and reliability. This remote, flexible contract role suits detail-oriented individuals committed to quality work on structured AI training tasks.
A fully remote contract role where PhD-level biochemists create expert-level problems, author gold-standard solutions, and audit AI-generated biochemical reasoning to train and improve scientific AI models. Ideal for biochemists passionate about scientific rigor who want to shape the accuracy of next-generation AI without requiring prior AI experience.
This role involves designing and evaluating advanced biology problems to help train AI models to reason rigorously about scientific topics like genetics, biotechnology, and bioinformatics. Masters and PhD holders in biology will apply their domain expertise to assess AI-generated reasoning for scientific accuracy and clarity in a fully remote, flexible contract position.
This role involves creating and evaluating biology problems to test and improve AI models' scientific reasoning capabilities. Biology masters-level experts will design rigorous test cases, assess AI outputs for accuracy, and provide feedback to enhance model performance across various biology domains.
This role involves leading data governance initiatives for biotech and clinical trial data to ensure compliance, accuracy, and readiness for AI model training. The position requires bridging scientific, technical, and regulatory teams to establish policies that protect sensitive data while enabling innovation in life sciences and regulatory submissions.
Chemistry experts with a Master's degree help train AI systems to reason through complex scientific problems by designing chemistry problems, evaluating AI outputs, and providing feedback. This remote position suits chemistry specialists who want to apply their expertise to improve how AI models handle scientific content.
This role involves evaluating and improving AI systems that handle advanced chemistry problems by designing rigorous test cases and assessing the accuracy and reasoning quality of AI-generated solutions. Chemistry experts with Master's-level knowledge will work remotely to help AI systems better understand and reason through chemistry across multiple subdisciplines.
This role involves developing environmental science problems and evaluating AI model outputs for accuracy in climate, ecology, and sustainability domains. Climate Data Specialists with advanced environmental science degrees will design complex scientific scenarios and assess AI-generated content for scientific rigor and clarity in support of AI model training.
A Clinical Data Strategist analyzes complex multi-source clinical datasets to identify trends and generate actionable insights that improve patient outcomes and healthcare operations. This fully remote contract role is suited for experienced healthcare analytics professionals who can transform raw clinical data into structured summaries for downstream use.
This role involves evaluating and improving AI models that process visual data, including images and video. Computer vision and machine learning experts will assess model outputs, identify failure modes, create training annotations, and provide technical feedback to guide the development of AI systems used at scale.
This role involves categorizing, tagging, and annotating text, images, and audio data to train AI systems. Data Labeling Specialists work independently on a flexible remote contract, following structured guidelines to ensure consistent, high-quality dataset preparation for machine learning models.
This role involves managing and preparing datasets for AI model training by cleaning, organizing, and quality-checking data to ensure accuracy and consistency. The position suits detail-oriented individuals with strong organizational skills who want to contribute to AI development without requiring prior machine learning experience.
This role involves designing advanced data science challenges, writing benchmark solutions, and auditing AI-generated code to improve AI reasoning and reliability. It is designed for experienced data scientists who want flexible, intellectually demanding work training and evaluating machine learning systems.
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FAQ
47 Alignerr Data & Machine Learning jobs are open on SideHustler today. Listings are rechecked against the official postings: the latest check on this list was on October 8, 2026.
Among the 47 open roles that publish an hourly rate in USD, pay runs from $15 to $400 per hour, with a median of $70. These are the rates the platforms publish, not a guarantee of income or hours.
The most requested areas of expertise on these listings are AI Evaluation, Data Annotation, Machine Learning, Deep Learning, Robotics. Each listing states its own requirements.
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