Generalist (AI Training Specialist)
At a glance
Mid-level Learning & Development role at Weekday AI. Remote, India · contract.
Pay not stated Learning & Development salary
remoteroles summary, based on the employer's posting.
What you'll do
- Assess varied datasets to help train and validate AI systems
- Write clear, accurate responses that follow the requirements for each project
- Check AI-generated content for relevance, factual accuracy, consistency and overall quality
- Flag shortcomings and provide practical feedback to improve model performance
- Follow project standards, communicate findings clearly and complete assigned work on time
What you bring
- Strong written and spoken English, with the ability to communicate findings clearly
- Sound reasoning and analytical judgment, plus careful attention to accuracy
- Ability to follow detailed instructions, work independently and manage deadlines
- Willingness to learn unfamiliar processes, tools and subject areas
Who this fits
This contractor role suits a detail-focused generalist who can assess information across varied subjects; prior AI experience is not required. You’ll work remotely in India, handling tasks independently and coordinating with remote teammates when needed.
From the employer
This role is for one of our clients
$50 - $90/hourpay
Role Title: Generalist (AI Training Specialist)
Role Type: Contractor
Location: Remote
We are looking for detail-oriented and intellectually curious Generalists to contribute to the development and improvement of next-generation AI systems. In this role, you will apply your critical thinking, analytical abilities, and communication skills to evaluate information, review outputs, and provide high-quality input across a variety of topics.
Prior experience in artificial intelligence is not required. This opportunity is well suited for individuals who demonstrate strong reasoning abilities, attention to detail, adaptability, and a commitment to delivering accurate and high-quality work.
You will work in a remote, digital-first environment and collaborate on projects that require thoughtful analysis, clear communication, and the ability to approach problems from multiple perspectives.
Requirements
Key Responsibilities
- Analyze, evaluate, and review diverse datasets to support AI system training and validation.
- Provide clear, accurate, and high-quality written input based on project requirements and guidelines.
- Review and assess AI-generated outputs for relevance, accuracy, consistency, and overall quality.
- Identify areas for improvement and provide constructive feedback to enhance model performance.
- Participate in tasks involving critical thinking, problem-solving, and analysis across a broad range of subjects.
- Follow established project guidelines, processes, and quality standards to ensure consistent deliverables.
- Contribute to quality assurance and review processes by maintaining a high level of accuracy and attention to detail.
- Communicate observations, findings, and insights clearly through written and verbal channels.
- Work independently while effectively collaborating with remote teams when required.
- Manage assigned tasks efficiently and ensure timely completion of deliverables.
Required Qualifications
- Excellent written and spoken English communication skills.
- Strong critical thinking, reasoning, and analytical abilities.
- Exceptional attention to detail and a commitment to accuracy.
- Ability to understand complex instructions and apply them consistently.
- Strong problem-solving skills and the ability to evaluate information objectively.
- Ability to work independently in a remote and fast-paced environment.
- Strong organizational and time-management skills.
- Willingness to learn new processes, tools, and subject areas.
Preferred Qualifications
- Previous experience in data annotation, data labeling, content evaluation, quality assurance, research, or similar analytical work is an advantage.
- Experience reviewing written content or evaluating information for accuracy and quality.
- Familiarity with digital collaboration tools and remote working environments.
- Exposure to AI-related projects or technologies is beneficial but not mandatory.
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