At a Glance
- Tasks: Evaluate and improve AI-generated content across voice, image, video, and multimedia formats.
- Company: Join a forward-thinking tech company focused on AI innovation.
- Benefits: Flexible remote work, competitive pay, and opportunities for professional growth.
- Other info: Ideal for those passionate about AI and digital media.
- Why this job: Be at the forefront of AI technology and shape its future with your insights.
- Qualifications: Fluent English skills and strong attention to detail required.
The predicted salary is between 29700 - 36300 £ per year.
- Industry: Software Development
- Work Setting: Remote
Are you passionate about evaluating cutting-edge AI technologies, analyzing AI-generated media, and helping improve the next generation of intelligent systems through detailed feedback and quality assessment?
We are seeking an AI Media Evaluation Specialist to review, compare, and assess AI-generated content across voice, image, video, and multimedia formats.
In this flexible, remote role, you will play an important part in improving advanced AI models by providing structured evaluations, identifying quality issues, and delivering evidence-based feedback that helps shape future AI performance.
Key Responsibilities
- Engage in live, scenario-based conversations with AI voice models.
- Evaluate responses for clarity, usefulness, naturalness, accuracy, and conversational flow.
- Compare and rank AI-generated conversations based on overall quality and user experience.
- Identify issues related to pronunciation, pacing, tone, fluency, and comprehension.
- Provide detailed written feedback supporting evaluation decisions.
- Image & Video Assessment
- Compare AI-generated images and videos against prompts and expected outcomes.
- Evaluate content for prompt adherence, realism, visual quality, creativity, and consistency.
- Identify artifacts and quality issues such as distorted anatomy, rendering errors, unrealistic details, text inaccuracies, and unnatural motion.
- Assess edited content against original versions to determine quality improvements.
- Support quality assurance efforts by documenting observations and recommendations.
- Multimedia Quality Review
- Carefully inspect multimedia outputs using close observation techniques, including replaying and zooming when necessary.
- Detect inconsistencies between audio, video, and visual elements.
- Evaluate synchronization, realism, and overall content quality.
- Ensure assessments are objective, accurate, and aligned with evaluation guidelines.
- Maintain consistent standards across multiple content formats.
- Assess AI-generated speech for naturalness, clarity, pronunciation, and voice consistency.
- Evaluate how closely generated voices match target characteristics or intended scenarios.
- Identify speech artifacts, unnatural intonation, pacing issues, and audio quality concerns.
- Provide detailed analysis that supports ongoing voice model improvements.
- Contribute to enhancing conversational AI experiences.
- Review and improve AI-generated captions and annotations.
- Label activities, actions, and events within video content.
- Correct AI-generated descriptions to improve accuracy and clarity.
- Contribute to high-quality training datasets through annotation and validation activities.
- Ensure labels and captions accurately reflect observed actions and events.
- Quality Assurance & Feedback
- Rate AI-generated outputs across dimensions such as adherence, realism, quality, and usability.
- Compare competing outputs and determine which best satisfies the prompt requirements.
- Write concise, evidence-based explanations supporting evaluation decisions.
- Identify recurring issues and trends across generated content.
- Deliver actionable feedback that contributes to model improvement.
- Common Activities
- Compare multiple AI-generated images and determine the strongest result.
- Evaluate AI-generated videos against prompts and quality expectations.
- Review and improve captions and annotations for multimedia content.
- Participate in conversational testing with AI voice systems.
- Analyze audio outputs for speech quality and voice similarity.
- Provide rankings, ratings, and structured feedback reports.
- Required Qualifications
- Fluent English speaking and writing skills.
- Strong written communication and analytical abilities.
- Excellent attention to detail and observational skills.
- Ability to make objective evaluations and evidence-based decisions.
- Ability to work independently in a remote environment.
- Preferred Qualifications
- Bachelor's degree or equivalent educational experience.
- Experience in content moderation, quality assurance, evaluation, annotation, or review work.
- Experience writing structured reviews, evaluations, or feedback.
- Familiarity with AI technologies, digital media, or multimedia content analysis.
- Experience with image, video, audio, or speech evaluation tasks.
- #J-18808-Ljbffr
AI Output Reviewer in London employer: SoTalent
As a leading employer in the education sector, we offer a dynamic and inclusive work culture that fosters collaboration and innovation. Our London-based team enjoys a hybrid work setting, competitive benefits, and ample opportunities for professional growth, making it an ideal environment for finance transformation leaders to thrive and make a meaningful impact.
StudySmarter Expert Advice🤫
We think this is how you could land AI Output Reviewer in London
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at SoTalent or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to SoTalent.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like SoTalent.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like SoTalent that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace AI Output Reviewer in London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at SoTalent.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at SoTalent and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at SoTalent
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If SoTalent uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
