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Benchmark Family Services information

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$12

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$33

How much do benchmark family services jobs pay per hour?

As of Sep 1, 2026, the average hourly pay for benchmark family services in the United States is $21.96, according to ZipRecruiter salary data. Most workers in this role earn between $17.07 and $25.96 per hour, depending on experience, location, and employer.

What is Benchmark Family Services?

Benchmark Family Services is a private foster care agency that specializes in providing therapeutic foster care services to children and families. The organization recruits, trains, and supports foster parents to care for children with emotional, behavioral, or developmental needs. Benchmark Family Services works closely with state agencies to ensure the well-being and safety of children placed in their care, offering ongoing support and resources to both foster families and children. Their goal is to help children achieve stability and permanency through compassionate and effective foster care solutions.

What are the typical responsibilities of a case manager at Benchmark Family Services?

Case managers at Benchmark Family Services are responsible for coordinating care for foster children and supporting foster families. This includes conducting regular home visits, developing and updating service plans, and ensuring compliance with state and agency policies. Case managers also collaborate closely with social workers, therapists, and external agencies to address the needs of each child and family. Effective communication, strong organizational skills, and adaptability are key to managing the diverse and dynamic caseload typical in this role.

What are the key skills and qualifications needed to thrive as a foster care case manager at Benchmark Family Services?

To excel as a Foster Care Case Manager at Benchmark Family Services, you generally need a bachelor's degree in social work or a related field, along with knowledge of child welfare practices. Familiarity with case management software, documentation systems, and state regulations is important for daily tasks. Strong interpersonal skills, empathy, cultural sensitivity, and effective communication help build trust with children, families, and partner agencies. These competencies are vital to ensuring the safety, well-being, and successful placement of children in foster care.

What is the difference between Benchmark Family Services vs Child Welfare Specialist?

AspectBenchmark Family ServicesChild Welfare Specialist
Required CredentialsRelevant social work or counseling certifications, state licensureChild welfare or social work degree, state licensure
Work EnvironmentCommunity-based settings, family homes, officesChild protective services, social service agencies
Employer & IndustryNonprofit organizations, social service agenciesGovernment agencies, child protective services
Common Search & ComparisonYesYes

Both roles focus on supporting children and families, often requiring similar credentials and working within social service environments. Benchmark Family Services typically operates in community and family-centered settings, while Child Welfare Specialists work primarily within government agencies handling child protection cases. Understanding these differences helps job seekers find the right fit based on their credentials and career goals.

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What cities are hiring for Benchmark Family Services jobs?

Cities with the most Benchmark Family Services job openings:

What states have the most Benchmark Family Services jobs?

States with the most job openings for Benchmark Family Services jobs include:

What job categories do people searching Benchmark Family Services jobs look for?

The top searched job categories for Benchmark Family Services jobs are:

Benchmark Family Services jobs near you
Infographic showing various Benchmark Family Services job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $45,675 per year, or $22 per hour.

Mercor Research Fellowship - APEX

Mercor

New York, NY • On-site

Temporary

Posted 10 days ago

Job description

About Mercor
Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.
Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You'll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.
About the Fellowship
Mercor's APEX benchmark family measures whether frontier AI models can actually do economically valuable work: multi-hour agentic tasks in investment banking and corporate law, real professional accounting workflows, real-world software engineering, and graduate-level science. Every APEX benchmark is built and validated with Mercor's network of domain experts - not written from a textbook.
Alongside APEX, Mercor's economics team works to understand how AI is changing the labor market and tries to quantify its economic impacts. To do so, we leverage Mercor's unique access to data, including: a marketplace with millions of candidates, internal AI usage metrics, enterprise data, and more.
The Mercor Research Fellowship funds people to build the next generation of benchmarks, evaluation techniques, and economic analyses of AI. You can pitch a benchmark or eval methodology you want to build - a new domain, a harder task format, a better way to measure agentic reliability - and if selected, you get the time, compute, expert labor, and mentorship to design, implement, and release it end to end. Or, on the economics side, you can pitch a study using Mercor's proprietary data to better understand an aspect of AI's impact on the economy and firms.
You'll work directly with the APEX research team, get access to real enterprise evaluation problems from Mercor's Fortune 500 and frontier-lab partners, and see your work shape how the industry measures AI capability.
Program Details
  • Duration: 3-6 months, rolling admission
  • Commitment: minimum 30 hours/week; full-time preferred
  • Location: remote, or in-person at Mercor's San Francisco office
  • Admission: apply with a specific benchmark or eval technique you want to build - the fellowship is funded around your pitch, not a generic research rotation

What You'll Do
  • Propose and scope a new benchmark evaluation technique, or economic study in an area not covered well by existing work
  • Build and validate it. For benchmarks, that means designing task specifications and grading rubrics with Mercor's network of vetted experts - lawyers, accountants, engineers, scientists, consultants - then piloting tasks, calibrating scoring, and running frontier models to analyze where and why they fail. For economic studies, this can mean anything from designing and running field experiments with experts on our platform to conducting empirical analyses of enterprise data.
  • Publish your results: a paper, an open dataset, a new leaderboard on APEX, or a methodology the team adopts internally - and partner with Mercor's research and engineering teams to fold what you learn back into our public work.

Focus Areas
  • Long-horizon, multi-app agentic tasks in professional services (law, finance, consulting) - extending APEX-Agents
  • Real-world software engineering evaluation beyond issue resolution - extending APEX-SWE
  • Professional accounting and finance workflows - extending APEX-Accounting
  • AI-for-Science evals: research-level mathematics, biology, materials science, and theoretical physics
  • New economic benchmarks - negotiation, management, and other capabilities that carry economic value but resist standard task formats
  • Novel evaluation methodology: contamination resistance, rubric design, human-vs-model grading agreement, cost-adjusted scoring
  • The economics of human data platforms like Mercor - pricing, matching, elasticity of supply and demand.
  • AI Theory of the Firm: what an AI-native firm looks like from the inside, and how work is actually organized within one, with a focus on empirical work.
  • Strong pitches outside this list are welcome - we fund the best ideas, not the closest fit to a template.

What We're Looking For
  • Genuine interest in evaluation as a research discipline - not just a stepping stone to a model-building role.
  • Background in economics, CS, ML, statistics, or an adjacent field (measurement, psychometrics, HCI, social science)
  • A specific, well-scoped idea for a benchmark, eval technique, or empirical study you want to build - the fellowship is built around your pitch.
  • Comfortable in a startup environment: fast iteration, direct access to real customer problems, less hand-holding than an academic lab.
  • Able to commit at least 30 hours/week for the duration of the fellowship - during a leave, over a summer, or a flexible stretch of a PhD.
  • Bonus: experience with agentic evaluation, RL environments, or domain expertise in law, finance, medicine, or a scientific field.

Compensation & Benefits
  • 3-month stipend of $40,000 or 6-month stipend of $80,000
  • Unlimited API credits, plus a dedicated budget for GPU compute and paid expert/human-data time
  • Weekly 1:1 mentorship with a member of the APEX research team, plus regular access to the broader research org
  • Access to Mercor's marketplace and expert-network data for empirical work, subject to review
  • Access to frontier model APIs, Mercor's internal evaluation infrastructure, and - where appropriate - real enterprise evaluation problems from Mercor's customers
  • Optional desk in Mercor's San Francisco office for fellows who want to be in person
  • Introductions to Mercor's network of researchers across frontier labs and academia
  • Standout fellows are considered for a full-time offer on the APEX research team at the end of the fellowship

Apply