Research Assistant

Research Assistant at PULSE MEDIA

We are currently seeking detail-oriented and intellectually curious professionals to contribute to an innovative AI development initiative. This Research Assistant role involves supporting a large-scale project designed to improve the performance and reasoning capabilities of advanced AI systems through supervised fine-tuning (SFT).

The selected candidate will play a key role in building high-quality, human-centered training data. This includes designing thoughtful prompts, critically reviewing AI-generated responses, and refining outputs to meet high standards of clarity, coherence, and analytical rigor. The ideal individual thrives in independent work environments, enjoys problem-solving, and brings a strong command of written communication across a variety of subject areas.

This is a project-based engagement suited for adaptable professionals who are comfortable navigating evolving guidelines and contributing to structured experimentation.

What You’ll Be Doing

• Designing original prompts that span a broad range of general knowledge and interdisciplinary topics
• Evaluating AI-generated content for logical consistency, completeness, factual reliability, and clarity
• Editing and enhancing responses to better align with human reasoning and communication standards
• Creating multiple variations of prompts and responses by adjusting tone, complexity, formatting, and instructions
• Detecting areas where the model struggles (e.g., ambiguity, flawed logic, incomplete reasoning) and documenting these findings
• Supporting benchmarking efforts by contributing structured comparisons and qualitative assessments
• Ensuring consistent formatting, quality control, and adherence to project standards across all submissions
• Providing constructive written feedback that improves dataset cohesion and training value

Your contributions will help shape how AI systems interpret instructions, reason through problems, and deliver more accurate outputs.

Qualifications & Background

• At least two years of experience in research, academic work, technical or creative writing, editing, analysis, curriculum development, or related fields
• Exceptional written communication skills with the ability to present complex ideas in a clear, organized manner
• Strong analytical thinking and the ability to evaluate arguments, detect inconsistencies, and refine reasoning
• High attention to detail and commitment to quality standards
• Comfort working autonomously and adapting to evolving documentation and workflows
• Experience with AI writing tools, language models, or prompt engineering is advantageous but not required

Candidates who are naturally curious, methodical, and comfortable working across diverse subject matter tend to excel in this Research Assistant role.

Work Structure & Timeline

• 100% remote and asynchronous work environment
• Flexible scheduling — contributors manage their own working hours
• Anticipated weekly commitment of approximately 10–25 hours
• Initial engagement period of about two weeks, with the possibility of continuation based on project needs and performance
• Assignments are delivered in structured batches, allowing flexibility in pacing and workload management

This opportunity is ideal for professionals seeking flexible, project-based work with meaningful intellectual engagement.

Engagement Terms

• Independent contractor classification
• Weekly payments processed through approved payment platforms
• Performance-based incentives may be available depending on contribution quality and consistency
• Project duration and scope may adjust in response to operational requirements
• Work does not involve access to confidential or proprietary materials from any external organization

Application Process

To Be Considered

• Submit an updated resume outlining your relevant experience
• Qualified candidates can expect follow-up communication within a few business days

We are looking for thoughtful contributors who are motivated to support the advancement of AI systems through careful analysis, structured experimentation, and high-quality written work.

Key skills/competency

• AI Development
• Prompt Engineering
• Content Evaluation
• Analytical Reasoning
• Data Quality
• Supervised Fine-tuning
• Written Communication
• Problem-Solving
• Quality Control
• Autonomous Work