About the Role

Mercor is seeking experienced Project Management Specialists to support a leading AI lab in advancing research and infrastructure for next-generation machine learning systems. This engagement focuses on diagnosing and solving real issues in your domain. It’s an opportunity to contribute your expertise to cutting-edge AI research while working independently and remotely on your own schedule.

Key Responsibilities

• You’ll be asked to create tasks and deliverables regarding common requests within your professional domain

Ideal Qualifications

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  4+ years professional experience in your respective field

• Excellent written communication with strong grammar and spelling skills

More About the Opportunity

• Expected workload: ~15 hours per week, with flexibility to scale up to 30+ hours

• Project start date: immediately, lasting for around 3-4 weeks

We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.

Contract and Payment Terms

• You will be engaged as an independent contractor.
• This is a fully remote role that can be completed on your own schedule.
• Projects can be extended, shortened, or concluded early depending on needs and performance.
• Your work at Mercor will not involve access to confidential or proprietary information from any employer, client, or institution.
• Payments are weekly on Stripe or Wise based on services rendered.
• Please note: We are unable to support H1-B or STEM OPT candidates at this time.

About Mercor

Mercor partners with leading AI labs and enterprises to train frontier models using human expertise. You will work on projects that focus on training and enhancing AI systems. You will be paid competitively, collaborate with leading researchers, and help shape the next generation of AI systems in your area of expertise.

Software Engineer (Front-end)

Design Engineer

Senior Social Media Coordinator

Senior Social Media Coordinator

Pixi Inc. | Central London, UK | On-site Role

About Pixi

Pixi Beauty is a globally recognized beauty brand with a distinctive point of view and a deeply engaged community. As one of the fastest growing independent beauty brands, Pixi has built a strong worldwide reputation and continues to shape the industry through product-led storytelling, creativity, consistency and thoughtful innovation at a global scale.

The Role

The Senior Social Media Coordinator is a high-accountability execution role within the Creative Digital Marketing team, responsible for translating creative direction into scalable, consistent, and high-performing social execution and operational rigor across all platforms with enthusiasm and discipline.

This is a content-driven, systems-aware role requiring deep fluency in social media and the beauty landscape, excellent execution skills under clear creative leadership, and the ability to operate with urgency. A refined visual eye, strong photography/videography skill and the ability to plan and deliver content at scale, and a full understanding of AI-driven content creation for ideation, efficiency, and optimisation are essential. This role will facilitate and present for final decisions and approvals by the Creative Director.

Key Responsibilities & Performance Standards

• Create and propose high-quality social content across Instagram, TikTok, YouTube, Facebook, Snapchat, and emerging platforms, aligned with Pixi’s brand voice, visual standards, and creative direction.
• Post-production & content finishing: Strong hands-on ability to retouch, edit, and refine social content to a publish-ready standard, including light photo retouching, video editing, colour correction, and formatting using industry-standard tools such as Adobe Photoshop, Lightroom, Premiere Pro, After Effects, Final Cut Pro, CapCut, and native platform editing tools.
• Content calendar management and execution, ensuring timely, consistent, and strategic scheduling and posting across all channels in line with established standards. At Pixi we always stay 60 days ahead.
• Prepare and submit shot lists, creative briefs, and content proposals for approval ahead of campaigns, launches, and shoots.
• Translate creative direction into executable content with precision, ensuring consistency with Pixi and POP brand ethos, tone, and visual identity.
• Manage and optimise platform presence, proactively adapting execution in response to algorithm changes, new features, and emerging formats.
• Own final content readiness prior to publish, including fact checking accuracy, formatting, timely approvals, and risk awareness.
• Troubleshoot execution issues in real time and proactively escalate with clear solutions when systems, platforms, or timelines shift.
• Foster and nurture the Pixi community through thoughtful, timely engagement across comments, messages, and feedback.
• Own planning accuracy and workflow execution across internal systems, including Planner, FS, SMWF, Brandwatch, and PDL.
• Apply performance learnings to continuously refine content formats, cadence, and execution over time.
• Use AI tools confidently and responsibly to support ideation, caption development, trend analysis, reporting synthesis, and workflow optimisation.
• Maintain clear, up-to-date documentation of workflows, best practices, and learnings to support continuity and onboarding.
• Track, analyse, and report performance on a weekly and monthly basis, translating insights into clear, actionable recommendations.
• Execute with awareness of global markets, time zones, and regional handoffs to ensure consistent and timely delivery.
• Communicate clearly, concisely, and proactively, surfacing risks, progress, and recommendations without requiring leadership follow-up.
• Partner closely with Creative, Growth Marketing, Ecommerce, and leadership teams to ensure alignment across initiatives.
• Identify workflow gaps and propose improvements to strengthen continuity, scalability, and operational resilience.
• All other responsibilities as assigned.

Data Analyst I

Despite rapid advancements in generative AI, achieving high-quality generation remains a challenge. This is primarily due to the scarcity of high-quality training data and the lack of reliable and robust evaluation metrics that can effectively capture subtle details in model outputs, which can significantly impact user experience.

The team is dedicated to developing comprehensive data curation and evaluation solutions to enhance models across various quality dimensions. These include visual quality, prompt adherence, identity preservation, naturalness, and visual text generation, among others. Diverse approaches are employed, such as sourcing billions of images and identifying suitable ones through a combination of manual annotations and signals from machine learning models. Both manual and automated evaluation methods are utilized to pinpoint quality gaps and data requirements.

Responsibilities

• Manage data labeling workflows, including data enqueueing for labeling, UI for labeling, and extracting labels into datasets for the modeling team.
• Maintain large-scale, efficient, and reliable data processing pipelines (billions of images), including data sourcing, running machine learning models to understand content, and using large language models (LLMs) to clean data.
• Maintain the portfolio of datasets, ensuring governance of access, retention, and privacy compliance.
• Manually annotate training data based on modeling team requirements.
• Use LLMs and other models to annotate training data or evaluate generated content, then apply auditing to understand model performance.
• Collaborate with engineers to identify and summarize model gaps based on evaluations; utilize these findings to identify necessary data, then mine and prepare that data for subsequent model training iterations.
• Scale validated evaluation protocols with product development teams, including coordination and auditing.
• Audit and correct human-labeled data.

Qualifications

• Associate’s degree or equivalent training required in Computer Science, Electronic Engineering, Physics, Bioinformatics, or other STEM subjects.
• Basic knowledge of Python and SQL.
• Basic knowledge of computer vision and generative models.
• Basic knowledge of data ETL workflows and pipelines.
• Verbal and written communication skills, problem-solving skills, and interpersonal skills.
• Attention to detail and an aptitude for experimental investigations.
• Basic ability to work independently and manage one’s time.
• Experience using LLMs for data labeling-related work.
• Prior industrial experience in software development and testing and/or research experience in human-computer interaction is preferred.
• Previous experience working onsite with engineers is preferred.

Additional Requirements

• Must be onsite, working with engineers.

Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Los Angeles Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, qualified applicants will be considered for assignment with arrest and conviction records. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, meet client expectations, standards, and accompanying requirements, and safeguard business operations and company reputation.