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Student Social Media Manager
Job Details
The Student Social Media Manager is responsible for utilizing major social media platforms to help convey the overall voice and brand of the Student Engagement Center via engaging content that highlights student voices, displays the many offerings of the center and fosters online engagement with KU Students. This will be done by creating and planning social content, performing daily engagement, gathering analytic data, and working with SEC full-time staff to collaborate on marketing campaigns as needed.Job Description50% – Social Media Management
- Content Creation & Scheduling: Developing and posting, including on-camera appearances for videos.
- Engagement & Community Management: Responding to comments/DMs, interacting with students, and managing social channels daily.
- Strategy & Planning: Creating content calendars, planning campaigns for events, writing content/scripts for posts and following university brand guidelines.
- Analytics & Reporting: Tracking metrics (likes, shares, engagement rates) and reporting on performance.
- Trend Monitoring: Staying updated on popular (and appropriate) trends and memes to keep content relevant.
- Event Coverage: Providing live, on-site social media coverage of campus events.
30% – Student Outreach & Engagement
- Network with student organization social channels to share relevant content.
- Plan social campaigns and coordinate special social projects.
- Assist with brainstorming of original content and campaigns.
15% – Administration
- Manage and respond to requests for social media collaboration/posting.
- Helping create a process for request that allows for proper turnaround/posting times.
5% – Other Duties as Assigned
Required Qualifications
- Strong writing, photography, and video editing skills.
- Experience with and knowledge of social media.
- Strong organizational skills & good time management.
- Ability to work independently and with a team.
- Ability to think both creatively and strategically.
- Passion for storytelling, community engagement, and student life.
Preferred Qualifications
- Portfolio/Examples to display past work displaying graphic design examples/past social media accounts that have been worked on/content creation/photography/videography skills.Experience with photography, video, or graphic design.
Generalist – English & Hebrew
Mercor partners with leading AI teams to improve the quality, usefulness, and reliability of general-purpose conversational AI systems. These systems are used across a wide range of everyday and professional scenarios, and their effectiveness depends on how clearly, accurately, and helpfully they respond to real user questions.
This project focuses on evaluating and improving general chat behavior in large language models (LLMs). You will assess model-generated responses across diverse topics, provide high-quality human feedback, and help ensure AI systems communicate in ways that are accurate, well-reasoned, and aligned with human expectations.
What You’ll Do
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Evaluate LLM-generated responses on their ability to effectively answer user queries
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Conduct fact-checking using trusted public sources and external tools
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Generate high-quality human evaluation data by annotating response strengths, areas for improvement, and factual inaccuracies
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Assess reasoning quality, clarity, tone, and completeness of responses
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Ensure model responses align with expected conversational behavior and system guidelines
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Apply consistent annotations by following clear taxonomies, benchmarks, and detailed evaluation guidelines
Who You Are
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You hold a Bachelor’s degree
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You are a native speaker or have ILR 5/primary fluency (C2 on the CEFR scale) in Hebrew
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You have significant experience using large language models (LLMs) and understand how and why people use them
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You have excellent writing skills and can clearly articulate nuanced feedback
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You have strong attention to detail and consistently notice subtle issues others may overlook
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You are adaptable and comfortable moving across topics, domains, and customer requirements
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You have a background or experience in domains requiring structured analytical thinking (e.g., research, policy, analytics, linguistics, engineering)
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You have excellent college-level mathematics skills
Nice-to-Have Specialties
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Prior experience with RLHF, model evaluation, or data annotation work
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Experience writing or editing high-quality written content
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Experience comparing multiple outputs and making fine-grained qualitative judgments
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Familiarity with evaluation rubrics, benchmarks, or quality scoring systems
What Success Looks Like
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You identify factual inaccuracies, reasoning errors, and communication gaps in model responses
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You produce clear, consistent, and reproducible evaluation artifacts
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Your feedback leads to measurable improvements in response quality and user experience
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Mercor customers trust the quality of their AI systems because your evaluations surface issues before public release
Software Engineer (Front-end)
Mercor is hiring experienced Software Engineers to support high-impact research collaborations with leading AI labs. Freelancers will contribute to building training datasets that improve AI model performance on real-world client-side web development tasks.
This is a unique opportunity to apply your frontend engineering expertise toward shaping the next generation of intelligent systems.
About the Project
You’ll create high-quality vibe coding data to train models on client-side web development skills—including state management, interactivity, UI correctness, and robustness. This could be in the format of games, web applications, visualizations, simulations, and more.
Key Responsibilities
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Write realistic, self-contained prompts for client-side web apps, games, tools, and simulations
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Create precise, binary rubrics tagged by verification type
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Ensure all rubric items are pass/fail and verifiable from screenshot + code inspection
Ideal Qualifications
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2+ years of experience in frontend/full-stack development or technical content creation
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Degree in Software Engineering, Computer Science, or a related field (Bachelor’s minimum; advanced degree preferred)
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Strong proficiency in JavaScript, TypeScript, React, or vanilla JS
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Comfortable writing precise technical specifications and evaluation criteria
Project Timeline
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Start Date: Immediate
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Duration: 1-2 months
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Commitment: Part-time (15–25 hours/week, with flexibility up to 40 hours/week)
Application & Onboarding Process
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Upload your resume
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AI interview: A short, 15-minute conversational session to understand your background, experience, and interest in the role
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Follow-up communication within a few days with next steps and onboarding details
Apply today and leverage your frontend engineering expertise to help build the future of AI-driven systems!
We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.
QA Analyst
About Binance.US:
Binance.US is America’s home to buy, trade, and earn digital assets. As a licensed and regulated U.S. crypto platform, we provide secure, reliable access to more than 190 of the world’s most popular cryptocurrencies, all with some of the lowest fees in the industry. We’re a remote-first team of innovators building the bridge between traditional finance and Web3, helping bring financial freedom within reach for all. To learn more, visit www.binance.us. All roles supporting Binance.US are employed via BAM Management US Holdings Inc. or BAM Management Canada Holdings Inc.
About This Role:
The QA Analyst is part of the Engineering team and reports to our Manager, Engineering. As a QA Analyst, you will support our Engineering team by executing manual and automated tests, documenting defects, and validating fixes to ensure the quality and stability of our core products. This role will focus on test case development, regression testing, and collaboration with developers and QA engineers to uphold quality benchmarks in a fast-paced fintech environment.
Core Responsibilities:
- Execute manual test plans, test cases, and test scripts for frontend and backend systems
- Perform functional, smoke, regression, and exploratory testing across mobile and web platforms
- Identify, document, and track software defects using tools such as JIRA or TestRail
- Run existing automated test scripts and analyze output for defects or inconsistencies
- Collaborate with QA Engineers to identify areas for automation coverage expansion
- Contribute to test data setup and validation of test environments
- Validate bug fixes and assess regression impact before releases
- Work closely with developers and product managers to clarify requirements and expected behaviors
- Participate in Agile ceremonies including sprint planning, stand-ups, and QA reviews
- Maintain up-to-date documentation of test results and report test coverage and defect trends
Preferred Skills/Experience:
- 2+ years of experience in software testing, QA, or software development
- Familiarity with manual and basic automated testing techniques
- Experience using bug tracking tools such as JIRA, TestRail
- Exposure to automation tools like Selenium, Cypress, Postman, or Maestro is a plus
- Understanding of SDLC, QA methodologies, and Agile development practices
- Strong attention to detail with analytical and documentation skills
- Effective communication and collaboration skills across engineering and product teams
- Ability to prioritize work and manage time in a fast-paced environment
- Nice to have: experience with API testing or background in crypto/fintech sectors
- Nice to have: experience supporting QA workflows in CI/CD environments
Software Engineer (Front-end)
About the Project
You’ll create high-quality vibe coding data to train models on client-side web development skills—including state management, interactivity, UI correctness, and robustness. This could be in the format of games, web applications, visualizations, simulations, and more.
Key Responsibilities
-
Write realistic, self-contained prompts for client-side web apps, games, tools, and simulations
-
Create precise, binary rubrics tagged by verification type
-
Ensure all rubric items are pass/fail and verifiable from screenshot + code inspection
Ideal Qualifications
-
2+ years of experience in frontend/full-stack development or technical content creation
-
Degree in Software Engineering, Computer Science, or a related field (Bachelor’s minimum; advanced degree preferred)
-
Strong proficiency in JavaScript, TypeScript, React, or vanilla JS
-
Comfortable writing precise technical specifications and evaluation criteria
Project Timeline
-
Start Date: Immediate
-
Duration: 1-2 months
-
Commitment: Part-time (15–25 hours/week, with flexibility up to 40 hours/week)
Application & Onboarding Process
-
Upload your resume
-
AI interview: A short, 15-minute conversational session to understand your background, experience, and interest in the role
-
Follow-up communication within a few days with next steps and onboarding details
Apply today and leverage your frontend engineering expertise to help build the future of AI-driven systems!
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.
