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June 4, 2026 8 Min Read

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Student Social Media Manager

Position OverviewThe Student Engagement Center (SEC) at the University of Kansas serves as a hub for student involvement, leadership development, impact programs and resources, and community programs. Through the Student Engagement Center, KU students deepen their connection to each other and KU by exploring communities and opportunities to thrive during their Jayhawk experience. Students will engage through registered student organizations, leadership experiences, and professional development workshops. The Center will impact students by providing for direct needs in the Campus Cupboard, Pregnant and Parenting Pantry, clothing closets, and the Emergency Aid Network. Jayhawks will build community as they connect with peers and engage in student support programs. The Student Engagement Center enhances existing programs by providing greater resources and deeper connections across Student Affairs.

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

Read moreTop Jobs People Assume Are Gone 🔥 Still Waiting? This Opportunity Won’t Apply Now 👆 before its expired
Evaluate LLM-generated responses on their ability to effectively answer user queries
Conduct fact-checking using trusted public sources and external tools
Generate high-quality human evaluation data by annotating response strengths, areas for improvement, and factual inaccuracies
Assess reasoning quality, clarity, tone, and completeness of responses
Ensure model responses align with expected conversational behavior and system guidelines
Apply consistent annotations by following clear taxonomies, benchmarks, and detailed evaluation guidelines

Who You Are

You hold a Bachelor’s degree
You are a native speaker or have ILR 5/primary fluency (C2 on the CEFR scale) in Hebrew
You have significant experience using large language models (LLMs) and understand how and why people use them
You have excellent writing skills and can clearly articulate nuanced feedback
You have strong attention to detail and consistently notice subtle issues others may overlook
You are adaptable and comfortable moving across topics, domains, and customer requirements
You have a background or experience in domains requiring structured analytical thinking (e.g., research, policy, analytics, linguistics, engineering)
You have excellent college-level mathematics skills

Nice-to-Have Specialties

Prior experience with RLHF, model evaluation, or data annotation work
Experience writing or editing high-quality written content
Experience comparing multiple outputs and making fine-grained qualitative judgments
Familiarity with evaluation rubrics, benchmarks, or quality scoring systems

What Success Looks Like

You identify factual inaccuracies, reasoning errors, and communication gaps in model responses
You produce clear, consistent, and reproducible evaluation artifacts
Your feedback leads to measurable improvements in response quality and user experience
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

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.

QA Analyst

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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